Journal articles on the topic 'Area health management model'
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Song, Yan, Jie-Ge Jiao, and Ze-Jun Chen. "Exploring on the elderly health management model in tropic area." Asian Pacific Journal of Tropical Medicine 10, no. 6 (June 2017): 614–18. http://dx.doi.org/10.1016/j.apjtm.2017.06.013.
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Huo, Aidi, Xiaofan Wang, Yan Liang, Cheng Jiang, and Xiaolu Zheng. "Integrated numerical model for irrigated area water resources management." Journal of Water and Climate Change 11, no. 4 (August 23, 2019): 980–91. http://dx.doi.org/10.2166/wcc.2019.042.
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Abstract The likelihood of future global water shortages is increasing and further development of existing operational hydrologic models is needed to maintain sustainable development of the ecological environment and human health. In order to quantitatively describe the water balance factors and transformation relations, the objective of this article is to develop a distributed hydrologic model that is capable of simulating the surface water (SW) and groundwater (GW) in irrigation areas. The model can be used as a tool for evaluating the long-term effects of water resource management. By coupling the Soil and Water Assessment Tool (SWAT) and MODFLOW models, a comprehensive hydrological model integrating SW and GW is constructed. The hydrologic response units for the SWAT model are exchanged with cells in the MODFLOW model. Taking the Heihe River Basin as the study area, 10 years of historical data are used to conduct an extensive sensitivity analysis on model parameters. The developed model is run for a 40-year prediction period. The application of the developed coupling model shows that since the construction of the Heihe reservoir, the average GW level in the study area has declined by 6.05 m. The model can accurately simulate and predict the dynamic changes in SW and GW in the downstream irrigation area of Heihe River Basin and provide a scientific basis for water management in an irrigation district.
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Tariq, Hasan, Anas Tahir, Farid Touati, Mohammed Abdulla E. Al-Hitmi, Damiano Crescini, and Adel Ben Manouer. "Geographical Area Network—Structural Health Monitoring Utility Computing Model." ISPRS International Journal of Geo-Information 8, no. 3 (March 21, 2019): 154. http://dx.doi.org/10.3390/ijgi8030154.
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In view of intensified disasters and fatalities caused by natural phenomena and geographical expansion, there is a pressing need for a more effective environment logging for a better management and urban planning. This paper proposes a novel utility computing model (UCM) for structural health monitoring (SHM) that would enable dynamic planning of monitoring systems in an efficient and cost-effective manner in form of a SHM geo-informatics system. The proposed UCM consists of networked SHM systems that send geometrical SHM variables to SHM-UCM gateways. Every gateway is routing the data to SHM-UCM servers running a geo-spatial patch health assessment and prediction algorithm. The inputs of the prediction algorithm are geometrical variables, environmental variables, and payloads. The proposed SHM-UCM is unique in terms of its capability to manage heterogeneous SHM resources. This has been tested in a case study on Qatar University (QU) in Doha Qatar, where it looked at where SHM nodes are distributed along with occupancy density in each building. This information was taken from QU routers and zone calculation models and were then compared to ideal SHM system data. Results show the effectiveness of the proposed model in logging and dynamically planning SHM.
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Lenthall, Sue, Sabina Knight, Sally Foxley, Vicki Gordon, Terrie Ivanhoe, and Robyn Aitken. "The remote area nurse model of consultation." International Journal of Advanced Nursing Studies 4, no. 2 (September 28, 2015): 149. http://dx.doi.org/10.14419/ijans.v4i2.4963.
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<p>Registered nurses working in remote areas of Australia are often called remote area nurses (RANs). RANs have traditionally used models of client consultation designed for acute presentations and episodes of care. However, presentations to health care facilities in remote Australia are more likely to be chronic, complex, multi-system and multifactorial in origin and subsequent management. This paper describes a consultation model developed from a combination of expert opinion, literature and trial and feedback from RANs. The model is comprehensive, systematic and puts the person at the centre of care. It aims to mitigate risk for the client; the RAN and the health service while at the same time building trust and health literacy between the client and the RAN to encourage the client to continue with the partnership in care.</p>
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Hernández Tovar, Mario Alberto, Efrén Hernández-Álvarez, Agustín Gallegos Rodríguez, Carlos M. Guzmán Paredes, and Vincenzo Bertolin. "Modelo de inventario para el manejo del arbolado urbano empleando un sistema de información geográfica." e-CUCBA 9, no. 17 (December 29, 2021): 211–21. http://dx.doi.org/10.32870/ecucba.vi17.228.
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The urban trees of the Chapultepec Country neighborhood in Guadalajara, Jalisco were studied in order to elaborate a forestmanagement model and through a Geographic Information System. The neighbourhood has a total amount of 32 blocks, 1 raisedmedian, 1 roundabout, 1 park, 1 traffic easement, with a surfae area of 49.95 hectares. A full census of the wooded area wasconducted and supported by thematic mapping, data gathering of enviromental and forestry variables, using a GPS Garmin eTrex 10every tree was georeferenced. Outstandig results; there are 1386 trees, from 81 different species that belong to 31 botanical families.The more prolific are Ficus benjamina, Thuja orientalis, Arecastrum romanzoffianum, Citrus aurantium y Cupressus sempervirens.The present condition of the regsstered trees revealed that 33.91% are healthy, 57.07% are in regular condition, 7.36% are in poorcondition and 1.66% are standing dead. On the basis of the elaborated database, the wooded area census thah includes forestryvariables, pruning necessities, phytosanitary condition of the trees and thematic cartography of the wooded areas status, a forestrymanagement program was developed specially for the urban trees of the neighbourhood that can be executed weekly or monthly bythe Park and Gardens brigades. A ratio of 9.16 mgreen area surface per citizen was found, this constitutes the minimum standardrecommended by the World Health Organization (WHO). There is a relationship of 3.03 trees per habitant, a much bigger amountthan the WHO’s standard, which points out that in order to obtain a better air quality in urban areas there must be a tree for everythree citizens.
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Choi, Jungsoon, and Andrew B. Lawson. "Bayesian spatially dependent variable selection for small area health modeling." Statistical Methods in Medical Research 27, no. 1 (June 16, 2016): 234–49. http://dx.doi.org/10.1177/0962280215627184.
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Statistical methods for spatial health data to identify the significant covariates associated with the health outcomes are of critical importance. Most studies have developed variable selection approaches in which the covariates included appear within the spatial domain and their effects are fixed across space. However, the impact of covariates on health outcomes may change across space and ignoring this behavior in spatial epidemiology may cause the wrong interpretation of the relations. Thus, the development of a statistical framework for spatial variable selection is important to allow for the estimation of the space-varying patterns of covariate effects as well as the early detection of disease over space. In this paper, we develop flexible spatial variable selection approaches to find the spatially-varying subsets of covariates with significant effects. A Bayesian hierarchical latent model framework is applied to account for spatially-varying covariate effects. We present a simulation example to examine the performance of the proposed models with the competing models. We apply our models to a county-level low birth weight incidence dataset in Georgia.
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Prokosch, H. U., T. Ganslandt, and J. Šuc. "Applicability of Lewin´s Change Management Model in a Hospital Setting." Methods of Information in Medicine 48, no. 05 (2009): 419–28. http://dx.doi.org/10.3414/me9235.
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Summary Objectives: Today’s socio-economic developments in the healthcare area require continued optimization of processes and cost structures at hospitals, often associated with process changes for different occupational groups in the hospital. Formal methods for managing change have been established in other industries. The goal of this study was to assess the applicability of Kurt Lewin’s change management method to a health informatics-related project at a German university hospital. Methods: A project at the University Hospital Erlangen introducing changed requirements in the documentation of costly material in the surgical area was conducted following the concept of Lewin’s approach based on field theory, group dynamics, action research and the three steps of change. A data warehouse contributed information to several steps in the change process. Results: The model was successfully applied to the change project. Socio-dynamic forces relevant to the project goals were identified and considered in the design of the new documentation concept. The achieved documentation level met the new requirements and in some areas even exceeded them. Conclusions: Based on the project experiences, we consider Kurt Lewin’s approach applicable to change management projects in the hospital sector without a requirement for substantial additional resources, however, specific hospital characteristics need to be taken into account. The data warehouse played an important role by providing essential contributions throughout the entire change process.
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Shipko, Andrii, Nadiia Demikhova, Krzysztof Pajak, and Vira Motrechko. "Health management at the regional level: multivariable performance assessment." Health Economics and Management Review 1, no. 2 (2020): 8–16. http://dx.doi.org/10.21272/hem.2020.2-01.
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This article provides an analysis of areas for improving the state policy bases in public health services. The purpose of the research is to substantiate and develop systematized regulatory support for the structural-functional care model for children in particular regions. The authors systematized the legislative acts on the health technologies introduction in the structural-functional model. To achieve the study goal, the authors used a systematic approach to provide quantitative and qualitative analysis of the organization and optimization of medical-social justification of the structural-functional model; bibliosemantic – for the analysis of national and international experience in providing medical care to patients; epidemiological – to determine the levels, structure and dynamics of morbidity and prevalence of pathology in childhood; statistical – for collecting, processing and analyzing received information. The article presented the authors’ development on regulatory support for the structural-functional medical model components for children. Besides, special attention was paid to the improvement of health technologies in regional health care systems. The authors identified areas for implementing the legislative initiative to improve the regulatory support for medical care provision. This paper provides the author’s regulatory support of structural-functional medical model’s components toward children with bronchopulmonary dysplasia and dysplastic pathology of the bronchopulmonary system. The authors emphasized the improvement of health technologies in regional health care systems. To improve the area of legislative and regulatory support, the study identified the directions for implementing the legislative initiative. Based on the study results, the authors proposed considering 7 legislative acts of Ukraine on improving the normative-legal provision of components of the structural-functional model. The obtained results could further assess their impact on implementing health technologies at the regional, municipal and family levels.
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Lu, Youpeng, Wenze Yue, and Yaping Huang. "Effects of Land Use on Land Surface Temperature: A Case Study of Wuhan, China." International Journal of Environmental Research and Public Health 18, no. 19 (September 23, 2021): 9987. http://dx.doi.org/10.3390/ijerph18199987.
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In this study, we aim to understand the impact of land use on the urban heat island (UHI) effect across an urban area. Considering the case study of Wuhan, China, land use factors and land surface temperatures (LSTs) of 589 planning management units were quantified in order to identify the spatial autocorrelation of LST, which indicated that a traditional regression would be invalid. By investigating the relationships between land use factors and the LST in summer, based on spatial regression models including the spatial lag model and the spatial error model, four conclusions were derived. First, the spatial error model effectively explains the relationships between LST and land use factors. Second, the impact on LST of the percentage of industrial areas is significant even though the impacts of land cover and building-group morphology indicators are combined, indicating that anthropogenic heat emission of industrial production contributes to high LSTs. Third, the relationship between the percentage of commercial area and LST is significant in the Pearson correlation analysis and traditional regression models, while not significant in spatial error model, suggesting that the urban heat environment of a commercial area is determined by the land use factors of the surrounding area. Fourth, the UHI effect in industrial and commercial areas could be precisely mitigated by not locating industrial areas beside residential areas, and setting up buffer zones between commercial areas and surrounding traditional residential areas. Overall, the results of this study innovatively deepen the understanding of the impact of the percentage of different urban land use types on the urban heat environment at the scale of planning management units, which is conducive to formulating precise regulation measures for mitigating UHI effects and improving public health.
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Lara, José Edson, Ary Célio Oliveira, Thalles Augusto Tissot-Lara, and Luiz Rodrigo Cunha Moura. "MODEL OF INTEGRAL HEALTH CARE." RAHIS- Revista de Administração Hospitalar e Inovação em Saúde 18, no. 5 (February 13, 2022): 87–102. http://dx.doi.org/10.21450/rahis.v18i5.7373.
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Financial sustainability has been one of the most worrying aspects of health systems, regardless of the country's stage of development. Thus, the purpose of this study is to analyze the value generation (EVA) and the possible cost reductions provided by the adoption of the Primary Health Care (PHC) Model. This is an exploratory and quantitative research with the use of the EVA (Economic Value Added) model and the system dynamics approach. The study connects the System Dynamics framework with the (EVA) to achieve cost savings in (PHC). The main results indicate that the Medical Cooperative was able to generate economic value of R$ 15.8 million in 2018 and the migration of care procedures to the PHC model could reduce costs of about R$ 330 million over a 10-year period. Theoretically, this investigation contributes to the application of a concept to a complex context. Methodologically, the contribution is the applicability of EVA and the use of system dynamics to analyze scenarios. The implementation of the PHC Model represents an important initiative in addressing the enormous management challenges in the area
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Lee, Eunsaem, Se Young Jung, Hyung Ju Hwang, and Jaewoo Jung. "Patient-Level Cancer Prediction Models From a Nationwide Patient Cohort: Model Development and Validation." JMIR Medical Informatics 9, no. 8 (August 30, 2021): e29807. http://dx.doi.org/10.2196/29807.
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Background Nationwide population-based cohorts provide a new opportunity to build automated risk prediction models at the patient level, and claim data are one of the more useful resources to this end. To avoid unnecessary diagnostic intervention after cancer screening tests, patient-level prediction models should be developed. Objective We aimed to develop cancer prediction models using nationwide claim databases with machine learning algorithms, which are explainable and easily applicable in real-world environments. Methods As source data, we used the Korean National Insurance System Database. Every Korean in ≥40 years old undergoes a national health checkup every 2 years. We gathered all variables from the database including demographic information, basic laboratory values, anthropometric values, and previous medical history. We applied conventional logistic regression methods, light gradient boosting methods, neural networks, survival analysis, and one-class embedding classifier methods to effectively analyze high dimension data based on deep learning–based anomaly detection. Performance was measured with area under the curve and area under precision recall curve. We validated our models externally with a health checkup database from a tertiary hospital. Results The one-class embedding classifier model received the highest area under the curve scores with values of 0.868, 0.849, 0.798, 0.746, 0.800, 0.749, and 0.790 for liver, lung, colorectal, pancreatic, gastric, breast, and cervical cancers, respectively. For area under precision recall curve, the light gradient boosting models had the highest score with values of 0.383, 0.401, 0.387, 0.300, 0.385, 0.357, and 0.296 for liver, lung, colorectal, pancreatic, gastric, breast, and cervical cancers, respectively. Conclusions Our results show that it is possible to easily develop applicable cancer prediction models with nationwide claim data using machine learning. The 7 models showed acceptable performances and explainability, and thus can be distributed easily in real-world environments.
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de Beer, Chantel J., Ahmadou H. Dicko, Jerome Ntshangase, Percy Moyaba, Moeti O. Taioe, Fernando C. Mulandane, Luis Neves, et al. "A distribution model for Glossina brevipalpis and Glossina austeni in Southern Mozambique, Eswatini and South Africa for enhanced area-wide integrated pest management approaches." PLOS Neglected Tropical Diseases 15, no. 11 (November 29, 2021): e0009989. http://dx.doi.org/10.1371/journal.pntd.0009989.
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Background Glossina austeni and Glossina brevipalpis (Diptera: Glossinidae) are the sole cyclical vectors of African trypanosomes in South Africa, Eswatini and southern Mozambique. These populations represent the southernmost distribution of tsetse flies on the African continent. Accurate knowledge of infested areas is a prerequisite to develop and implement efficient and cost-effective control strategies, and distribution models may reduce large-scale, extensive entomological surveys that are time consuming and expensive. The objective was to develop a MaxEnt species distribution model and habitat suitability maps for the southern tsetse belt of South Africa, Eswatini and southern Mozambique. Methodology/Principal findings The present study used existing entomological survey data of G. austeni and G. brevipalpis to develop a MaxEnt species distribution model and habitat suitability maps. Distribution models and a checkerboard analysis indicated an overlapping presence of the two species and the most suitable habitat for both species were protected areas and the coastal strip in KwaZulu-Natal Province, South Africa and Maputo Province, Mozambique. The predicted presence extents, to a small degree, into communal farming areas adjacent to the protected areas and coastline, especially in the Matutuíne District of Mozambique. The quality of the MaxEnt model was assessed using an independent data set and indicated good performance with high predictive power (AUC > 0.80 for both species). Conclusions/Significance The models indicated that cattle density, land surface temperature and protected areas, in relation with vegetation are the main factors contributing to the distribution of the two tsetse species in the area. Changes in the climate, agricultural practices and land-use have had a significant and rapid impact on tsetse abundance in the area. The model predicted low habitat suitability in the Gaza and Inhambane Provinces of Mozambique, i.e., the area north of the Matutuíne District. This might indicate that the southern tsetse population is isolated from the main tsetse belt in the north of Mozambique. The updated distribution models will be useful for planning tsetse and trypanosomosis interventions in the area.
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Mathew, Dolly. "Information Technology and Public Health Management of Disasters—A Model for South Asian Countries." Prehospital and Disaster Medicine 20, no. 1 (February 2005): 54–60. http://dx.doi.org/10.1017/s1049023x00002156.
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AbstractThis paper highlights the use of information technology (IT) in disaster management and public health management of disasters. Effective health response to disasters will depend on three important lines of action: (1) disaster preparedness; (2) emergency relief; and (3) management of disasters. This is facilitated by the presence of modern communication and space technology, especially the Internet and remote sensing satellites. This has made the use of databases, knowledge bases, geographic information systems (GIS), management information systems (MIS), information transfer, and online connectivity possible in the area of disaster management and medicine.This paper suggests a conceptual model called, “The Model for Public Health Management of Disasters for South Asia”. This Model visualizes the use of IT in the public health management of disasters by setting up the Health and Disaster Information Network and Internet Community Centers, which will facilitate cooperation among all those in the areas of disaster management and emergency medicine. The suggested infrastructure would benefit the governments, non-government organizations, and institutions working in the areas of disaster and emergency medicine, professionals, the community, and all others associated with disaster management and emergency medicine. The creation of such an infrastructure will enable the rapid transfer of information, data, knowledge, and online connectivity from top officials to the grassroots organizations, and also among these countries regionally. This Model may be debated, modified, and tested further in the field to suit the national and local conditions. It is hoped that this exercise will result in a viable and practical model for use in public health management of disasters by South Asian countries.
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Amir, Astaman, and Sajriawati Sajriawati. "Mangrove Forest Management Model at Payum Merauke Beach." E3S Web of Conferences 328 (2021): 08002. http://dx.doi.org/10.1051/e3sconf/202132808002.
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The implementation of the coastal resource management model must be adjusted to the characteristics of the coastal communities in the coastal area. This study aims to analyze the management model of mangrove forests in Payum Beach. The research location is Payum coastal area, samkai village, Merauke district. The population in this study are coastal communities, traditional leaders and stakeholders associated with mangrove forest management. Sampling uses a purposive sampling technique, which will be adjusted to the information needs of the study. Data collected includes mangrove forest management. Data analysis using descriptive qualitative. The results showed that there was cooperation between coastal communities and the government in carrying out mangrove rehabilitation in the process the government tended to only inform the community about the decisions that would be made. The management of mangrove forests on Payum beach adopts an instructive co-management management model.
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Hadi, Muhammad Sapoan, Sutanto Priyo Hastono, Kemal Nazarudin Siregar, and Dumilah Ayuningtyas. "Geospatial-Based Information Systems Model for Disaster Management of Reproductive Health." Media Kesehatan Masyarakat Indonesia 16, no. 1 (March 31, 2020): 62. http://dx.doi.org/10.30597/mkmi.v16i1.8780.
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Indonesia is a disaster-prone area, but it is often found that the response process is slow at the very beginning of a disaster. Furthermore, disasters are often unpredictable. Therefore, simulation of preparedness, mitigation, and disaster management should be conducted continuously and systematically, both in manual and electronic manner by utilizing advance technology in geospatial. The aim of this study to develop a model of geospatial-based information systems in disaster management of reproductive health sub-cluster (SIGAB KESPRO BISA) in Nusa Tenggara Barat. Data collection was conducted through in-depth interviews with several stakeholders. To complete the methodological approach and to obtain the system requirement, a content analysis was done toward in-depth interviews result. The research continued with the development of information system models. The analysis results by in-depth interview indicate the availability of infrastructure and the importance of the system offered. The SIGAB KESPRO BISA model needs to be composed of three main functions, namely preparedness and mitigation systems, logistics distribution, and reproductive health services. The design of the SIGAB KESPRO BISA model has been built to facilitate the process of developing the SIGAB KESPRO BISA application system so that disaster management can be carried out with high effectiveness and efficiency.
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He, Rong, Xintong Huang, Xiaoying Ye, Zhe Pan, Heng Wang, Bin Luo, Dongmei Liu, and Xinxin Hu. "County Ecosystem Health Assessment Based on the VORS Model: A Case Study of 183 Counties in Sichuan Province, China." Sustainability 14, no. 18 (September 15, 2022): 11565. http://dx.doi.org/10.3390/su141811565.
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The scientific assessment of the health level of county ecosystems is the basis for formulating county-based sustainable development strategies. In this paper, we take the county areas of Sichuan Province as the evaluation objects and combine the SDGs (the Sustainable Development Goals) to establish a county ecosystem health evaluation index system based on the VORS (Vigor–Organization–Resilience–Service) model. On this basis, we used the entropy weight method, the Moran index method, and the obstacle degree model to analyze the ecosystem health level, spatial distribution characteristics, and obstacles of 183 counties in Sichuan Province. The main results were as follows: (1) A total of 80.87% of the counties in Sichuan Province were at sub-healthy and healthy levels, concentrated in the southeastern part of Sichuan, and 19.13% of the counties were at an unhealthy level, mainly in the Aba, Ganzi, and Liangshan areas. (2) The health levels of county ecosystems in Sichuan Province had high spatial autocorrelation characteristics. The H–H (High–High) agglomeration area and the L–L (Low–Low) agglomeration area had significant agglomeration characteristics, which were distributed in the Cheng-Mian area and the northwestern Sichuan area, respectively. (3) The key indicators restricting the healthy development of urban ecosystems in Sichuan counties are economic vitality, economic resilience, and quality of life, all of which belong to the economic subsystems, with obstacles reaching 17.25%, 16.68%, and 13.52%, respectively. This study can provide theoretical and methodological support for research into ecosystem health evaluations at the county level, and provide a decision-making basis for promoting the health of county ecosystems and coordinating regional development in Sichuan Province.
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Yantao, Xin. "Assessment of Hospital Emergency Management in the Beijing Area." Prehospital and Disaster Medicine 26, no. 3 (June 2011): 180–83. http://dx.doi.org/10.1017/s1049023x11006327.
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AbstractIntroduction: In recent years, the number of public health emergencies has increased. Improving hospital emergency management is an important challenge.Objective: This is a pilot study intended to assess hospital emergency management in the Beijing area, make recommendations to government health authorities and hospital managers, and offer references for similar studies.Methods: This was an observational, cross-sectional survey. Forty-five hospitals in the Beijing area were selected randomly. A self-administered questionnaire was used as a data collection tool. It comprised of three sections: (1) Section A was the introduction; (2) Section B asked for the respondent's personal information; and (3) Section C comprised the major part of the questionnaire and was intended to gather information regarding the hospital's general emergency management situation.Results: The survey response rate was 44%, accounting for 29% of total hospitals that the study targeted. No hospital had an established emergency management department or full-time staff for emergency management. A total of 15–45% of the hospitals had established a hospital emergency management committee, performed a vulnerability analysis, or evaluated emergency management regularly. Twenty-five percent of respondents thought that the local government health authority had established an integrated hospital incident command system. A total of 40%–55% of hospitals contracted with outside institutions for supplements, backup of key functional systems and professional support.Conclusions: After the occurrence of the 2003 severe acute respiratory syndrome (SARS) epidemic, Chinese hospital managers took many measures to improve hospital resilience. However, most of these efforts lacked the guidance of theories, concepts, principles, and methods. An integrated, standardized, operational hospital emergency management model has not been established. Although the survey response rate was relatively low, some clues for further study were discovered, and suggestions to the health authority for hospital emergency management improvement were revealed.
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Jones, David. "Management of the sexually abused child." Advances in Psychiatric Treatment 2, no. 1 (January 1996): 39–45. http://dx.doi.org/10.1192/apt.2.1.39.
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This review considers the place of psychiatry in the complex area of management of the sexually abused child. A model is described in order to guide psychiatric perspectives in the field of child sexual abuse, before describing an approach to management in mental health teams.
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Dr.S.Lakshmi Kanthan Bharathi, P.Sujidha, ,. Dr A. Manjula, N. Ahamed Hussain Asif and A. Usha. "Analysis of Optimal Deep Learning Approach for Battery Health Condition Monitoring inElectric Vehicle." International Journal for Modern Trends in Science and Technology 9, no. 01 (January 25, 2023): 43–53. http://dx.doi.org/10.46501/ijmtst0901008.
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Compared with other commonly used batteries, lithium-ion batteries are featured by high energy density, high power density, long service life and environmental friendliness and thus have found wide application in the area of consumer electronics. The narrow area in which lithium-ion batteries operate with safety and reliability necessitates the effective control and management of battery management system. This present paper, through the analysis of literature and in combination with our practical experience, gives a brief introduction to the composition of the battery management system (BMS). First-principles models that incorporate all of the key physics that affect the internal states of a lithium-ion battery are in the form of coupled nonlinear PDEs. While these models are very accurate in terms of prediction capability, the models cannot be employed for on-line control and monitoring purposes due to the huge computational cost. A reformulated model is capable of predicting the internal states of battery with a full simulation running in milliseconds without compromising on accuracy. This paper demonstrates the feasibility of using this reformulated model for control-relevant real-time applications. The reformulated model is used to compute optimal protocols for battery operations to demonstrate that the computational cost of each optimal control calculation is low enough to be completed within the sampling interval in model predictive control (MPC). Observability studies are then presented to confirm that this model can be used for state-estimation-based MPC. A moving horizon estimator (MHE) technique was implemented due to its ability to explicitly address constraints and nonlinear dynamics. The MHE uses the reformulated model to be computationally feasible in real time. The feature of reformulated model to be solved in real time opens up the possibility of incorporating detailed physics-based model in battery management systems (BMS) to design and implement better monitoring and control strategies
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Gill, Harsheen, Mandeep Kaur, Sartaj Singh Sandhu, and Angad Singh Sandhu. "Health informatics and health information management: future trends for information technology in health sciences." Journal of Community Health Management 9, no. 2 (July 15, 2022): 84–88. http://dx.doi.org/10.18231/j.jchm.2022.017.
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Healthcare is at an important crossroads in that current models of care are increasingly seen by politicians and policymakers as unsustainable. Furthermore, there is a need to move away from the reactive, doctor-centred model of care to one that is more patient-centred and that consistently delivers accessible, high-quality and safe care to all. Greater use of health information technology (HIT) is seen by many key decision makers as crucial to this transformation process and, hence, substantial investments are made in this area. However, healthcare, particularly in hospitals, remains a laggard in health information technology (HIT) adoption. To uncover the underlying reasons, we discuss current implementation and adoption challenges and explore potential ways to address these. We outline strategic, organisational, technical and social factors that can ‘make or break’ technological implementations. Most importantly, we suggest that efforts should be characterised by an underlying awareness of the complexity of the hospital environment and the need to develop tools that support provision of integrated multidisciplinary care. We conclude with a discussion of promising future developments, including increased patient involvement; access and contribution to shared records; the penetration of smart devices; greater health information exchange and interoperability; and innovative real-time secondary uses of data.
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Vatalis, Konstantinos I. "Asbestos Rehabilitation Project as a Model of Landscape Sustainability." International Journal of Social Ecology and Sustainable Development 13, no. 1 (January 2022): 1–14. http://dx.doi.org/10.4018/ijsesd.292069.
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Greece was one of the biggest producers of asbestos in the world as well as a consumer. It took advantage of the asbestos rich Zidani mine, in the region of Western Macedonia in Greece. However, due to serious health problems caused by inhaling asbestos, it was banned in 1979 and the mine closed in March 2000. Rehabilitation management of the abandoned asbestos mining area, the depositions in the open - pit mining area and the tailings remnants was necessary in order to avoid health and environmental problems in the wider area The detailed soil protection and rehabilitation project of the degraded mining area was implemented taking all necessary and appropriate safety and health measures according to the requirements of the relevant E.U and National legislation, so that accidents would be prevented. Results show that the rehabilitation, soil protection and enhancement of the area help the ecosystems to be sustainable, ecologically and socially acceptable
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Paluttur, Sukri, Atjo Wahyu, Indar, Muhammad Syafar, Apik Indarty Moedjino, Agus Bintara Birawida, Healthy Hidayanti, et al. "Expert Needs of Healthy Public Health Centre Development in the Archipelago Area of South Sulawesi." International Journal of Sustainable Development and Planning 17, no. 1 (February 28, 2022): 289–97. http://dx.doi.org/10.18280/ijsdp.170129.
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This research aimed to develop the indicators of Healthy Public Health Centers in the archipelago region of South Sulawesi. This research was conducted by applying qualitative method through a literature review approach related to the construction of indicators for the model of a Healthy Public Health Center in the archipelago region. The informants involved in this study were from Health Department, Public Health Center, Social Service, Environment Service, Tourism Office, Fisheries and Marine Service, the Head of Sub- District, Sub-Village/lurah, Healthy Regency/City Forum, Healthy Sub-District Communication Forum, Working Groups at the village level, NGOs, public figure, religious leaders, academics, and other informants. This research also applied FGD and In-depth Interview. The result of this study is the discovery of dimensions consisting of indicators that make up the model of a Healthy Public Health Center in the archipelago region. The dimensions consisted of (1) Location, (2) Access, (3) Basic service program, (4) a specific program (innovation) (5) Human Resources (HR), (6) Community Empowerment, (7) Public Health Center Working Group (Pokja PKM Sehat) and (8) Archipelago Healthy Public Health Center. This study found a number of indicators of Healthy Health Centers that can be applied specifically to archipelagic areas.
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Blake, Sarah C., David H. Howard, Hilary Eiring, and Scott Tarde. "San Diego's Area Coordinator System: A Disaster Preparedness Model for US Nursing Homes." Disaster Medicine and Public Health Preparedness 6, no. 4 (December 2012): 424–27. http://dx.doi.org/10.1001/dmp.2012.65.
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ABSTRACTAlmost 2 million Americans rely on nursing homes for care, and many require daily or near daily contact with the health care system to remain alive and functional. In October 2007, Southern California experienced a series of wildfires that burned over 500 000 acres and caused 14 nursing homes to evacuate more than 1200 residents. In response to this event, nursing home administrators and officials from various health care and emergency management agencies in San Diego County collaborated to form a model for nursing home emergency preparedness. This report describes the model, known as the area coordinator system, and discusses its strengths and limitations, and whether it ought to be replicated in other areas of the country.(Disaster Med Public Health Preparedness. 2012;6:424-427)
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Thornton, Thomas F., and Harvey Kitka. "An Indigenous Model of a Contested Pacific Herring Fishery in Sitka, Alaska." International Journal of Applied Geospatial Research 6, no. 1 (January 2015): 94–117. http://dx.doi.org/10.4018/ijagr.2015010106.
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This paper uses GIS and spatiotemporal analysis of a historically and culturally modified marine ecosystem to evaluate Pacific herring abundance, declines, vulnerabilities, and future prospects, about which a Native Tribe and state fisheries managers disagree. In 2008, the Sitka Tribe of Alaska (STA) requested that an area within its traditional waters be closed to commercial sac roe fishing to protect spawning Pacific herring (Clupea pallasi), a key species for Native subsistence and marine ecosystem health. This proposal was opposed by the Alaska Department of Fish and Game (ADF&G), which estimated that adequate biomass was available to accommodate all herring users' needs. The disagreement exposes divisions between the Tribe's and the State's conceptualizations of the status, health, and management priorities for fisheries and marine ecosystems. The Tribe's model is one of cultivated abundance, wherein herring eggs are harvested conservatively and habitat is enhanced to make coastal spawning areas more productive, stable, and resilient. The State's paradigm, in contrast, follows a constitutional mandate to manage fisheries for Maximum Sustained Yield (MSY). A single-species biomass model is used to estimate a “surplus” herring for commercial roe harvesting within management areas. This work analyses and compares the spatiotemporal prescriptions of State and Indigenous models of herring fisheries management as they are used within debates over a closed area (Proposal 239), and assesses their relative potential for improving herring fisheries and marine ecosystem management using a combination of GIS spatial and scientific analysis and traditional ecological knowledge.
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Yang, Wanqiu, Timothy Sim, Ke Cui, Jun Zhang, Yanchun Yang, and Xiaohong Ma. "Health-Promoting Lifestyles Among Health Care Workers in a Postdisaster Area: A Cross-sectional Study." Disaster Medicine and Public Health Preparedness 13, no. 02 (June 18, 2018): 230–35. http://dx.doi.org/10.1017/dmp.2018.36.
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ABSTRACTObjectiveHealth care workers performing rescue tasks in large-scale disaster areas are usually challenged in terms of physical and mental endurance, which can affect their lifestyles. Nevertheless, data on whether health care workers tend to adopt healthy lifestyles after disasters are limited. This paper compares the adoption of healthy lifestyle behaviors among health care workers with that among non–health care workers in a postdisaster area.MethodsThis cross-sectional observational study was conducted in August 2016. The Health-Promoting Lifestyle Profile II questionnaire was used to interview 261 health care workers and 848 non–health care workers.ResultsResults of the multivariable linear models showed that health care workers had lower physical activity levels (ß=−1.363, P<.0001), worse stress management (ß=−1.282, P<.0001), slower spiritual growth (ß=−1.228, P=.002), and poorer interpersonal relationships (ß=−0.814, P=.019) than non–health care workers. However, no significant differences were found in either nutrition (ß=−0.362, P=.319) or health responsibility (ß=−0.421, P=.283).ConclusionsHealth care workers had less healthy lifestyle behaviors, including physical activity, stress management, spiritual growth, and interpersonal relationships. Further studies are needed to develop health-improving interventions for health care workers in postdisaster areas. (Disaster Med Public Health Preparedness. 2019;13:230–235)
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Li, Xigui, Qing Wu, and Yujie Liu. "Spatiotemporal Changes of Cultivated Land System Health Based on PSR-VOR Model—A Case Study of the Two Lake Plains, China." International Journal of Environmental Research and Public Health 20, no. 2 (January 16, 2023): 1629. http://dx.doi.org/10.3390/ijerph20021629.
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Cultivated land resources are the material basis of sustainable agricultural development. Climate change, food security, land pollution, and other issues highlight the value of sustainable agricultural development, and the health of the cultivated land system has attracted much attention. By constructing “PSR-VOR” cultivated land system health evaluation framework under the 5 km grid scale and using GIS spatial analysis and mathematical statistics to comprehensively evaluate the health status of the cultivated land system in the two lake plains from 2000 to 2019. The major results have shown that: (1) Over the past 20 years, both the highest and average values of the health index of the cultivated land system have gone down, and the health status of the cultivated land system has changed and gotten worse over time. (2) The health status in the two lake plains has been generally good, mainly in Class I and Class II areas. However, the area of cultivated land with general and poor health status has increased rapidly. On the whole, the health level presents the characteristic of gradually decreasing from the northeast to the southwest and southeast. (3) During the study period, the global Moran’s I value of the cultivated land system health index in the two lake plains increased from 0.686 to 0.729, with significant spatial positive autocorrelation, and the spatial heterogeneity of the cultivated land system health index gradually increased. As shown by the spatial distribution characteristics of high in the north, low in the south, and decreasing from the middle to the outside, the distribution of the high-value cluster area and the low-value cluster area of the cultivated land system health index in the two lake plains has not changed significantly over the past 20 years. (4) The two lake plains are divided into five areas: a moderate optimization area, a collaborative optimization area, a potential improvement area, a key improvement area, and a priority improvement area. The urgency of regulating the health status from the moderate optimization area to the priority improvement area has gradually increased, and the differentiated utilization and management of cultivated land resources need to be carried out according to local conditions.
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Taylor, Dylan, and Michele Lahey. "Increasing the Involvement of Specialist Physicians in Chronic Disease Management." Journal of Health Services Research & Policy 13, no. 1_suppl (January 2008): 52–56. http://dx.doi.org/10.1258/jhsrp.2007.007068.
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Background The Capital Health (CH) region in Alberta serves the population of the Edmonton area as well as a large referral population in western Canada. CH is responsible for the delivery of the spectrum of patient care, from inpatient to outpatient services. Growth in outpatient care, in particular, has led to the development of several ambulatory care facilities from which the delivery of care to several populations with a chronic disease will be coordinated. Assessment of problem The traditional model of care delivery is unsuited to the management of chronic diseases. Physicians must be part of the planning and implementation of new models if they are to be successful and sustainable. The concept of integration into a delivery team is not well understood or practised. This is not conducive to the integration of specialist physicians into multidisciplinary teams in ambulatory care that serves the needs of patients from a large geographic area. Results Chronic disease management using the Chronic Care Model has proven to be an effective method of delivering care to this wide population. Specialist physicians have not always taken advantage of opportunities to be involved in the planning and development of such new health care projects. In CH, physician integration in the planning, development and implementation of this new model has proven vital to its success. Strategies for change We based our strategy for change on Wagner's Chronic Care Model. This involved eight steps, the first four of which have been completed and the fifth and sixth are underway. Lessons and messages Five factors contributed to the successful integration of specialist physicians in chronic disease management: collaboration between disciplines and organizations; creating patient-centred services; organizational commitments; strong clinical leadership; and early involvement of clinicians.
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Goldsteen, Raymond L., and Karen Goldsteen. "An investigation into support for restrictions on HIV carriers in the Chicago metropolitan area." Revista de Saúde Pública 24, no. 1 (February 1990): 28–38. http://dx.doi.org/10.1590/s0034-89101990000100006.
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An investigation into support for restrictions on people testing seropositive for HIV is reported on. Data were collected during telephone interviews with two-hundred adults aged eighteen to sixty-five in the Chicago metropolitan area. Using the analytic technique of LISREL, six models which attempt to explain support for restrictions were tested. It was found that the model best supported by the data indicates that two groups contribute to support for restrictions on HIV carriers - one due to intolerance of homosexuality and one to mistrust of public health officials regarding their control and management of the AIDS epidemic. The relevance of these findings for public health policy makers is discussed.
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Lai, Qiuying, Jie Ma, Fei He, and Geng Wei. "Response Model for Urban Area Source Pollution and Water Environmental Quality in a River Network Region." International Journal of Environmental Research and Public Health 19, no. 17 (August 24, 2022): 10546. http://dx.doi.org/10.3390/ijerph191710546.
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With the development of cities, urban area source pollution has become more severe and a significant source of water pollution. To study the relationship between urban area source pollution and water environmental quality in a river network, this study uses a city in the Yangtze River Delta, China, as an example. The Storm Water Management Model (SWMM) model and the MIKE11 model were combined into a unified modeling framework and used to simulate dynamic changes in the water quality of a river network under light rain, moderate rain, and heavy rain. In the study period, the annual urban area source input loads of potassium permanganate (CODMn), total phosphorus (TP), and ammonia nitrogen were 29.8, 0.9, and 4.8 t, respectively. The influence of light rain on the water quality of the river network was lagging and temporary, and rainfall area pollution was the primary contributor. Under the scenario of moderate rain, overflow from a pipeline network compounded rainfall runoff, resulting in a longer duration of impact on the water quality in the river. Additionally, the water quality in the river course was worse under moderate rain than under light or heavy rain. Under the scenario of heavy rain, rain mainly served a dilutive function. This research can provide support for urban area source pollution control and management.
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Wang, Huan, Peng Hou, Jinbao Jiang, Rulin Xiao, Jun Zhai, Zhuo Fu, and Jing Hou. "Ecosystem Health Assessment of Shennongjia National Park, China." Sustainability 12, no. 18 (September 17, 2020): 7672. http://dx.doi.org/10.3390/su12187672.
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Ecosystem health assessment is an important part of improving the management of national parks. In this paper, Shennongjia National Park is taken as the study region. By using satellite remote sensing data from 2000 to 2018, based on the Vitality Organization Resilience (VOR) model, an ecosystem health assessment is created and its spatiotemporal characteristics are analyzed. In the whole region, the ecosystem’s health level has gradually improved; the rate of improvement of the ecosystem’s health level from 2016 to 2018 has been 2.5-times that of the overall rate and the trend of improvement has been obvious. The rate of improvement of the ecosystem’s health level of non-nature protection areas has improved two-fold; the same is true of nature protection areas, and the stability change trend of the two areas has basically been the same. The establishment of national parks has played a significant role in promoting the health of the regional ecosystem. In future planning, relevant departments should pay attention to the ecological protection and restoration of the area and optimize the traditional area layout of Shennongjia National Park.
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Musen, Mark A., and Johan van der Lei. "Knowledge Engineering for Clinical Consultation Programs: Modeling the Application Area." Methods of Information in Medicine 28, no. 01 (January 1989): 28–35. http://dx.doi.org/10.1055/s-0038-1635543.
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Abstract:Developers of computer-based decision-support tools frequently adopt either pattern recognition or artificial intelligence techniques as the basis for their programs. Because these developers often choose to accentuate the differences between these alternative approaches, the more fundamental similarities are frequently overlooked. The principal challenge in the creation of any clinical consultation program - regardless of the methodology that is used - lies in creating a computational model of the application domain. The difficulty in generating such a model manifests itself in symptoms that workers in the expert systems community have labeled “the knowledge-acquisition bottleneck” and “the problem of brittleness”. This paper explores these two symptoms and shows how the development of consultation programs based on pattern-recognition techniques is subject to analogous difficulties. The expert systems and pattern recognition communities must recognize that they face similar challenges, and must unite to develop methods that assist with the process of building of models of complex application tasks.
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Shen, Wei, Zhicheng Zheng, Yaochen Qin, and Yang Li. "Spatiotemporal Characteristics and Driving Force of Ecosystem Health in an Important Ecological Function Region in China." International Journal of Environmental Research and Public Health 17, no. 14 (July 14, 2020): 5075. http://dx.doi.org/10.3390/ijerph17145075.
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Quantitative assessment can scientifically determine the health status of a regional ecosystem, identify regional eco-environmental problems, and assist in promoting regional sustainable development and environmental management. Taking China’s important ecological function region, the Yellow River affected area as an example, this study constructed an extended evaluation index system based on the pressure-state-response framework, and remote sensing and GIS techniques were used to dynamically evaluate the spatial and temporal characteristics of ecosystem health in the study area. Furthermore, influencing factors on ecosystem health in the study area were extensively analyzed using the GeoDetector model. The results show that the ecosystem health level in the study area shows significant spatial heterogeneity from 1995–2015, and showed a fluctuating change process. Areas with large fluctuations in health level were mainly distributed in extreme climate areas, ecologically fragile areas, on plains and in hilly areas. Spatial differences of ecosystem health were well explained by using the biological abundance index, relief degree of land surface, soil type, annual average precipitation, elevation, annual average temperature, and population density. Influencing factors have significant interactive effects on ecosystem health.
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Felisberto, Eronildo, Rodrigo Lino de Brito, Danila Augusta Accioly Varella Barca, Mary Anne Fontenele Martins, Adriana Karla N. B. Marinho de Oliveira, Nidia Cristina de Souza, Ana Paula Neves Marques de Pinho, Jarbas Barbosa da Silva Júnior, and Isabella Samico. "Evaluation Model for developing effective indicators for health surveillance actions in Brazil." Revista Brasileira de Saúde Materno Infantil 18, no. 3 (September 2018): 653–64. http://dx.doi.org/10.1590/1806-93042018000300011.
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Abstract Objective: to present an evaluation model for developing effective indicators for the Vigilância Sanitária (VISA) (Sanitary and Health Surveillance) actions in Brazil. Methods: an exploratory, evaluative study from primary sources data - electronic form by key informants and reports on national, international and secondary benchmarking visits - documental analysis. Results: the diversity of VISA management practices made it possible to define the evaluation object: Health Surveillance Actions - as an organized action system. The components: management; regulation; sanitary and health control; sanitary and health risk monitoring and information, communication and health education were derived from the aims of the intervention and composes a central structure of the Theoretical Model and the Logical Model Actions of VISA in the Sistema Nacional de Vigilância Sanitária (SNVS) (National Sanitary and Health Surveillance System) . Conclusions: The Vigilância Sanitária (VISA) (Sanitary and Health Surveillance) accumulates experience with the process indicators for monitoring actions, being incipient are capable of evaluating its impact. The theoretical resources in the evaluation area support the information management in the VISA field and besides contributing for studies on social determinants and the incorporation of analyses in historic series.
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Yan, Xu Qian, Chang You Wu, and Guang Cheng Wang. "Study on Dynamic Assessment and Indicator System of Ecosystem Management in Mining Area." Advanced Materials Research 955-959 (June 2014): 1599–603. http://dx.doi.org/10.4028/www.scientific.net/amr.955-959.1599.
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Based on index system of mining area ecosystem management is set on, on the basis of ecosystem health in mining area, constructs the ecological environment in mining area level, management of mineral resources, mining area economic and social development level as the criterion layer multi-level evaluation index system of index of quantitative method, combined with the change trend of volatility and changes in indicators of the direction and speed, puts forward the trend function and grey prediction method is applied to dynamic evaluation model of mining area ecosystem management, and in a certain mining area, the inspection case study conclusion shows that the mining area ecological system management is in medium level, need to strengthen management, and proposed the corresponding countermeasure and the suggestion.
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Sung, MinDong, Sangchul Hahn, Chang Hoon Han, Jung Mo Lee, Jayoung Lee, Jinkyu Yoo, Jay Heo, Young Sam Kim, and Kyung Soo Chung. "Event Prediction Model Considering Time and Input Error Using Electronic Medical Records in the Intensive Care Unit: Retrospective Study." JMIR Medical Informatics 9, no. 11 (November 4, 2021): e26426. http://dx.doi.org/10.2196/26426.
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Background In the era of artificial intelligence, event prediction models are abundant. However, considering the limitation of the electronic medical record–based model, including the temporally skewed prediction and the record itself, these models could be delayed or could yield errors. Objective In this study, we aim to develop multiple event prediction models in intensive care units to overcome their temporal skewness and evaluate their robustness against delayed and erroneous input. Methods A total of 21,738 patients were included in the development cohort. Three events—death, sepsis, and acute kidney injury—were predicted. To overcome the temporal skewness, we developed three models for each event, which predicted the events in advance of three prespecified timepoints. Additionally, to evaluate the robustness against input error and delays, we added simulated errors and delayed input and calculated changes in the area under the receiver operating characteristic curve (AUROC) values. Results Most of the AUROC and area under the precision-recall curve values of each model were higher than those of the conventional scores, as well as other machine learning models previously used. In the error input experiment, except for our proposed model, an increase in the noise added to the model lowered the resulting AUROC value. However, the delayed input did not show the performance decreased in this experiment. Conclusions For a prediction model that was applicable in the real world, we considered not only performance but also temporal skewness, delayed input, and input error.
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Aini Saludin, Farhana, Nurazean Maarop, Norziha Megat Mohd Zainuddin, Roslina Mohammad, and Sya Azmeela Shariff. "A Conceptual Model on Websites Design Features for Self-Management of Chronic-Diseases Patients." International Journal of Engineering & Technology 7, no. 4.36 (December 9, 2018): 479. http://dx.doi.org/10.14419/ijet.v7i4.36.23922.
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Undeniably, there are several reasons to be connected to the Internet. In healthcare, finding health information from the Internet and websites is common among the global community. Searching health information over the Internet can assists chronic-disease patients in self-managing their health condition. Self-management program with Information Technology empowerment would improve time, distance and traffic barriers because it is easily accessible, up-to-date, and offers tailored feedback to patients` health status. There is great demand of health websites use though at the same time users are facing concerns and limitations due to medical jargons use and navigational problems. Hence, there is a strong reason why more studies need to be conducted in this particular area especially in the design and development of health websites. Based on a review of relevant papers, this paper aims to propose a model for websites design features for self-management of chronic-diseases patients. Ten relevant features of health websites are extracted and proposed in this study. The study may be beneficial to health websites users and eventually improve their health conditions.
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Hsiao, Wei-Ting, Yao-Chiang Kan, Chin-Chi Kuo, Yu-Chieh Kuo, Sin-Kuo Chai, and Hsueh-Chun Lin. "Hybrid-Pattern Recognition Modeling with Arrhythmia Signal Processing for Ubiquitous Health Management." Sensors 22, no. 2 (January 17, 2022): 689. http://dx.doi.org/10.3390/s22020689.
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We established a web-based ubiquitous health management (UHM) system, “ECG4UHM”, for processing ECG signals with AI-enabled models to recognize hybrid arrhythmia patterns, including atrial premature atrial complex (APC), atrial fibrillation (AFib), ventricular premature complex (VPC), and ventricular tachycardia (VT), versus normal sinus rhythm (NSR). The analytical model coupled machine learning methods, such as multiple layer perceptron (MLP), random forest (RF), support vector machine (SVM), and naive Bayes (NB), to process the hybrid patterns of four arrhythmia symptoms for AI computation. The data pre-processing used Hilbert–Huang transform (HHT) with empirical mode decomposition to calculate ECGs’ intrinsic mode functions (IMFs). The area centroids of the IMFs’ marginal Hilbert spectrum were suggested as the HHT-based features. We engaged the MATLABTM compiler and runtime server in the ECG4UHM to build the recognition modules for driving AI computation to identify the arrhythmia symptoms. The modeling extracted the crucial data sets from the MIT-BIH arrhythmia open database. The validated models, including the premature pattern (i.e., APC–VPC) and the fibril-rapid pattern (i.e., AFib–VT) against NSR, could reach the best area under the curve (AUC) of the receiver operating characteristic (ROC) of approximately 0.99. The models for all hybrid patterns, without VPC versus AFib and VT, achieved an average accuracy of approximately 90%. With the prediction test, the respective AUCs of the NSR and APC versus the AFib, VPC, and VT were 0.94 and 0.93 for the RF and SVM on average. The average accuracy and the AUC of the MLP, RF, and SVM models for APC–VT reached the value of 0.98. The self-developed system with AI computation modeling can be the backend of the intelligent social-health system that can recognize hybrid arrhythmia patterns in the UHM and home-isolated cares.
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Choudhary, Mahender, Ruchika Sharma, and Sudhir Kumar. "Development of residential water demand model for a densely populated area of Jaipur City, India." Journal of Water, Sanitation and Hygiene for Development 2, no. 1 (March 1, 2012): 10–19. http://dx.doi.org/10.2166/washdev.2012.029.
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Water demand forecasting has become an essential ingredient in effective water resource planning and management. In water-scare urban areas of developing countries, this emphasis on accurate forecasting is particularly important for effective water resource planning and management. This paper presents an econometric water demand model for forecasting future residential water requirements for a densely populated area of Jaipur city. This study used an ordinary least squared (OLS) regression model to measured the impact of household income (I), age of respondent (A_R), household size (SIZE), age of home (A_H), wealth (W), asset score (AS), dwelling status (DWELL), monthly expenditure on water supply (EXP_WS), number of bathrooms (BATHR), and number of rooms (RMS) on residential water use (RWU) using data from a survey of 149 representative households in the study area. Empirical results indicate that residential water demand of the study area is characterized by I, SIZE, AS, and EXP_WS, with SIZE (0.542) and AS (0.418) having a major influence on RWU, as shown by their high standardized model coefficient values at 95% confidence intervals. Therefore major saving should be achieved by technological developments in water efficient appliances combined with education in efficient use of water.
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Tanaka, Katsunori, Yasuki Motozawa, Kentaro Takahashi, Tetsuo Maki, and Masahito Hitosugi. "Factors Affecting the Severity of Placental Abruption in Pregnant Vehicle Drivers: Analysis with a Novel Finite Element Model." Healthcare 10, no. 1 (December 24, 2021): 27. http://dx.doi.org/10.3390/healthcare10010027.
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We clarified factors affecting the severity of placental abruption in motor vehicle collisions by quantitively analyzing the area of placental abruption in a numerical simulation of an unrestrained pregnant vehicle driver at collision velocities of 3 and 6 m/s. For the simulation, we constructed a novel finite element model of a small 30-week pregnant woman, which was validated anthropometrically using computed tomography data and biomechanically using previous examinations of post-mortem human subjects. In the simulation, stress in the elements of the utero–placental interface was computed, and those elements exceeding a failure criterion were considered to be abrupted. It was found that a doubling of the collision velocity increased the area of placental abruption 10-fold, and the abruption area was approximately 20% for a collision velocity of 6 m/s, which is lower than the speed limit for general roads. This result implies that even low-speed vehicle collisions have negative maternal and fetal outcomes owing to placental abruption without a seatbelt restraint. Additionally, contact to the abdomen, 30 mm below the umbilicus, led to a larger placental abruption area than contact at the umbilicus level when the placenta was located at the uterus fundus. The results support that a reduction in the collision speed and seatbelt restraint at a suitable position are important to decrease the placental abruption area and therefore protect a pregnant woman and her fetus in a motor vehicle collision.
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Adeel, Muhammad, Zahid Mehmood, and Amin Ullah. "Stress Estimation Model for the Sustainable Health of Cancer Patients." Computational and Mathematical Methods in Medicine 2022 (July 25, 2022): 1–11. http://dx.doi.org/10.1155/2022/3336644.
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Good health is the most important and very necessary characteristic for stress-free, skillful, and hardworking people with a cooperative environment to create a sustainable society. Validating two algorithms, namely, sequential minimal optimization for regression (SMOreg) using vector machine and linear regression (LR) and using their predicted cancer patients’ cases, this study presents a patient’s stress estimation model (PSEM) to forecast their families’ stress for patients’ sustainable health and better care with early management by under-study cancer hospitals. The year-wise predictions (1998-2010) by LR and SMOreg are verified by comparing with observed values. The statistical difference between the predictions (2021-2030) by these models is analyzed using a statistical t -test. From the data of 217067 patients, patients’ stress-impacting factors are extracted to be used in the proposed PSEM. By considering the total population of under-study areas and getting the predicted population (2021-2030) of each area, the proposed PSEM forecasts overall stress for expected cancer patients (2021-2030). Root mean square error (RMSE) (1076.15.46) for LR is less than RSME for SMOreg (1223.75); hence, LR remains better than SMOreg in forecasting (2011-2020). There is no significant statistical difference between values (2021-2030) predicted by LR and SMOreg ( p value = 0.767 > 0.05 ). The average stress for a family member of a cancer patient is 72.71%. It is concluded that under-study areas face a minimum of 2.18% stress, on average 30.98% stress, and a maximum of 94.81% overall stress because of 179561 expected cancer patients of all major types from 2021 to 2030.
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Figueroa Uribe, Augusto F., Julia Hernández Ramírez, and Jorge O. Flores del Razo. "Intelligence in health: A critical analysis strategy for decision-making in the health area." Revista de la Facultad de Medicina Humana 22, no. 2 (March 16, 2022): 374–91. http://dx.doi.org/10.25176/rfmh.v22i2.4790.
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The last year and a half, it was shown that the lack of use of data and information of origin in the health sector, produced one of the greatest catastrophes that humanity has experienced in the last 100 years. The aforementioned, due to a failure of vision, which unfortunately is seen as a problem not only of national security, but also of human security. Intelligence is the discipline that carries out the planning, collection, analysis and generation of products for the decision-making of the leaders of a country, sector, organization or society. This can be used very well in the health sector, applying the intelligence cycle model used in the security or financial field. That is, generating products from the analysis of raw information, lines of action, strategies and prospective scenarios that guide the decision maker to carry out health policies that comply with the human security strategies recommended by the United Nations Organization (UN) for a sustainable development.
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Saba, Tanzila, Amjad Rehman, Khalid Haseeb, Saeed Ali Bahaj, and Jaime Lloret. "Optimized Embedded Healthcare Industry Model with Lightweight Computing Using Wireless Body Area Network." Wireless Communications and Mobile Computing 2022 (April 25, 2022): 1–10. http://dx.doi.org/10.1155/2022/4735272.
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Wireless technology is offering numerous growth to develop communication systems. The Internet of Things (IoT) is combined with the sensing ecosystem to transfer and process the physical environment. Recently, IoT devices have collaborated with wireless devices to improve embedded medical applications. Many solutions are proposed to decrease the power consumption of the sensing ecosystem and support the health industry. However, optimizing the transformation of collected data with lightweight power consumption is still a burning research issue. Moreover, uncontrolled network devices and healthcare professionals are remotely accessed by such embedded systems. Thus, securing sensitive information is also a significant factor for mobile communications. Therefore, this research presents an optimized embedded healthcare industry model with lightweight computing using a wireless body area network (WBAN), aiming to lessen the control overheads and improve the power consumption in mobile e-health services. To begin, it employs an optimal learning algorithm to lower the management costs of embedded systems in order to transform and administer the electronic health record (EHR) more efficiently. Second, with the help of trustworthy gateways, it delivers a safe EHR algorithm as well as lightweight computing resources for embedded systems. The proposed model is tested with a variety of experiments and demonstrates its significant improvement over state-of-the-art techniques.
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Saba, Tanzila, Amjad Rehman, Khalid Haseeb, Saeed Ali Bahaj, and Jaime Lloret. "Optimized Embedded Healthcare Industry Model with Lightweight Computing Using Wireless Body Area Network." Wireless Communications and Mobile Computing 2022 (April 25, 2022): 1–10. http://dx.doi.org/10.1155/2022/4735272.
Full textAbstract:
Wireless technology is offering numerous growth to develop communication systems. The Internet of Things (IoT) is combined with the sensing ecosystem to transfer and process the physical environment. Recently, IoT devices have collaborated with wireless devices to improve embedded medical applications. Many solutions are proposed to decrease the power consumption of the sensing ecosystem and support the health industry. However, optimizing the transformation of collected data with lightweight power consumption is still a burning research issue. Moreover, uncontrolled network devices and healthcare professionals are remotely accessed by such embedded systems. Thus, securing sensitive information is also a significant factor for mobile communications. Therefore, this research presents an optimized embedded healthcare industry model with lightweight computing using a wireless body area network (WBAN), aiming to lessen the control overheads and improve the power consumption in mobile e-health services. To begin, it employs an optimal learning algorithm to lower the management costs of embedded systems in order to transform and administer the electronic health record (EHR) more efficiently. Second, with the help of trustworthy gateways, it delivers a safe EHR algorithm as well as lightweight computing resources for embedded systems. The proposed model is tested with a variety of experiments and demonstrates its significant improvement over state-of-the-art techniques.
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Battilani, P., and M. Camardo Leggieri. "Predictive modelling of aflatoxin contamination to support maize chain management." World Mycotoxin Journal 8, no. 2 (January 1, 2015): 161–70. http://dx.doi.org/10.3920/wmj2014.1740.
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The aim of this work was to design the potential support given by predictive models to maize management in a chain vision aimed at minimising aflatoxin contamination and human and animal exposure. There are some predictive models available but only AFLA-maize, which is a mechanistic model, is suitable for aflatoxin risk prediction worldwide. Weather data are the mandatory input for aflatoxin risk prediction and the output depends strictly on data sources, thus being influenced by both the time and distance scale of meteorological data. A user friendly summary interface of output data from predictive models is represented by risk maps in which the spatial gradient of the risk is highlighted. Actual (day by day throughout the maize growing season), historical (collected in the past) and future (predicted) data can be considered from single weather stations, a network of weather stations or a data base to support a single farm, a group of farms or an area, respectively. Past scenarios are the output generated by historical data, predictions related to actual data describe the risk situation of the current growing season and future data support the prediction of future scenarios. Model predictions cannot really support operational decisions throughout the maize growing season, but they are useful approaching crop ripening, when it is suggested that early harvest is associated with high risk and a switch from contaminated grain to non-food/ feed use can be decided. Scenarios generated by historical data can support preseason decisions with more careful management in high risk areas, while climate change scenarios are mainly destined for strategic actions deputed to institutions and policy makers. Model predictions destined for all the actors in the chain (farmers, extension services, stakeholders, politicians, institutions and researchers) can further support crop management, being also useful as communication and risk management tools.
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Rahbari, Shahrooz, Leila Riahi, and Jamaleddin Tabibi. "Designing the Model of the Management of Mental Health Services." Revista del Cuerpo Médico del HNAAA 12, no. 4 (February 26, 2020): 297–304. http://dx.doi.org/10.35434/rcmhnaaa.2019.124.563.
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Introduction: Having mental health is necessary for the growth and prosperity of humans and as a result of the growth of societies.Objectives: The purpose of this study was to design a mental health management model in Iran.Methods: In this exploratory study, a review study was first performed to analyze the current state of mental health services in Iran and the world. Countries were selected to compare mental health management with Iran in 6 domains. 311 faculty members with mental health were completed by completing a questionnaire with 50 items in the study. Using the factor analysis, the final model was explained. Results: The effective domains in Iranian mental health services management were named in 8 areas: Mental Health in Particular, Key Centers and Task-Shifting, Human Resources and Specialists Training, Psychological Services for Children and Adolescents, Financial Resources and Hospital Services, Mental Health in PHC and Primary medical services, Policy-Making and Human Rights, Monitoring and Control, Community-Based Services. Conclusions: The proposed model of mental health services management in Iran consists of 8 domains, which is a comprehensive and multidimensional concept. Paying attention to its factors can lead to the successful management of mental health services in Iran.
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Yu, W., Y. Liu, M. Lin, F. Fang, and R. Xiao. "ECOSYSTEM HEALTH ASSESSMENT OF MINING CITIES BASED ON LANDSCAPE PATTERN." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W7 (September 14, 2017): 1427–35. http://dx.doi.org/10.5194/isprs-archives-xlii-2-w7-1427-2017.
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Ecosystem health assessment (EHA) is one of the most important aspects in ecosystem management. Nowadays, ecological environment of mining cities is facing various problems. In this study, through ecosystem health theory and remote sensing images in 2005, 2009 and 2013, landscape pattern analysis and Vigor-Organization-Resilience (VOR) model were applied to set up an evaluation index system of ecosystem health of mining city to assess the healthy level of ecosystem in Panji District Huainan city. Results showed a temporal stable but high spatial heterogeneity landscape pattern during 2005&ndash;2013. According to the regional ecosystem health index, it experienced a rapid decline after a slight increase, and finally it maintained at an ordinary level. Among these areas, a significant distinction was presented in different towns. It indicates that the ecosystem health of Tianjijiedao town, the regional administrative centre, descended rapidly during the study period, and turned into the worst level in the study area. While the Hetuan Town, located in the northwestern suburb area of Panji District, stayed on a relatively better level than other towns. The impacts of coal mining collapse area, land reclamation on the landscape pattern and ecosystem health status of mining cities were also discussed. As a result of underground coal mining, land subsidence has become an inevitable problem in the study area. In addition, the coal mining subsidence area has brought about the destruction of the farmland, construction land and water bodies, which causing the change of the regional landscape pattern and making the evaluation of ecosystem health in mining area more difficult. Therefore, this study provided an ecosystem health approach for relevant departments to make scientific decisions.
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Wang, Yong, and Zhuang Xiong. "Prediction of the Forest Health Based on BP Neural Networks." Advanced Materials Research 726-731 (August 2013): 4303–6. http://dx.doi.org/10.4028/www.scientific.net/amr.726-731.4303.
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This paper simple introduced back propagation (BP) neural networks, and constructed a dynamic predict model, based on it to predict forest disease and insect and rat pest. Then it analyzed and simulated with the BP neural network model with the data produced in the recent ten years. The result indicated that the BP neural network model is reliable for predicting the forest disease and insect and rat pest. The method provides scientific foundation for the forestry management of studied area.
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Ershadi, Mohammad Javad, Reza Edrisabadi, and Aghileh Shakouri. "Strategic alignment of project management with health, safety and environmental management." Built Environment Project and Asset Management 10, no. 1 (October 31, 2019): 78–93. http://dx.doi.org/10.1108/bepam-03-2019-0023.
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Purpose Project management generally covers many important areas such as cost, quality and time in different industrial settings, but it is deficient in relation to integration of health, safety and environmental risks. Poor knowledge of project managers about HSE management necessitates the studying on the mutual effects of HSE and project management. Hence, investigating the impact of project management on health monitoring programs, safety prevention monitoring, environmental monitoring plans and finally the effectiveness of professional health monitoring programs and determining their importance are main objectives of this research. The paper aims to discuss these issues. Design/methodology/approach A model based on structural equations was designed and developed. The constructs of this model are project management, health monitoring and safety prevention monitoring program. Based on the conceptual model, some questionnaires were prepared and distributed among the experts of strategic project management. Findings The results of applied structural modeling suggest that project management focuses on each aspect of HSE management, including health monitoring programs, safety prevention monitoring programs, environmental monitoring plans and effectiveness of professional health monitoring programs. HSE management can also be strengthened by empowering project management. Checking fire protection systems, using appropriate techniques to identify contamination and disposal of waste and incorporating techniques for brainstorming or other ideas creation in the group are the most important tasks in HSE-enabled project management frameworks. Originality/value Since there is still no strategic alignment model that includes components of project management and HSE management, a model for achieving this goal is vital. This paper elaborates this alignment based on literature and using a field study.
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Wang, Zhiye, Chuanming Ma, Yang Qiu, Hanxiang Xiong, and Minghong Li. "Refined Zoning of Landslide Susceptibility: A Case Study in Enshi County, Hubei, China." International Journal of Environmental Research and Public Health 19, no. 15 (August 1, 2022): 9412. http://dx.doi.org/10.3390/ijerph19159412.
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At present, landslide susceptibility assessment (LSA) based on the characteristics of landslides in different areas is an effective prevention measure for landslide management. In Enshi County, China, the landslides are mainly triggered by high-intensity rainfall, which causes a large number of casualties and economic losses every year. In order to effectively control the landslide occurrence in Enshi County and mitigate the damages caused by the landslide. In this study, eight indicators were selected as assessment indicators for LSA in Enshi County. The analytic hierarchy process (AHP) model, information value (IV) model and analytic hierarchy process-information value (AHP-IV) model were, respectively, applied to assess the landslide distribution of landslides in the rainy season (RS) and non-rainy season (NRS). Based on the three models, the study area was classified into five levels of landslide susceptibility, including very high susceptibility, high susceptibility, medium susceptibility, low susceptibility, and very low susceptibility. The receiver operating characteristic (ROC) curve was applied to verify the model accuracy. The results showed that the AHP-IV model (ROC = 0.7716) was more suitable in RS, and the IV model (ROC = 0.8237) was the most appropriate model in NRS. Finally, combined with the results of landslide susceptibility in RS and NRS, an integrated landslide susceptibility map was proposed, involving year-round high susceptibility, RS high susceptibility, NRS high susceptibility and year-round low susceptibility. The integrated landslide susceptibility results provide a more detailed division in terms of the different time periods in a year, which is beneficial for the government to efficiently allocate landslide management funds and propose effective landslide management strategies. Additionally, the focused arrangement of monitoring works in landslide-prone areas enable collect landslide information efficiently, which is helpful for the subsequent landslide preventive management.
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Matia, Graciele de, Marcio José de Almeida, Roberto Zonato Esteves, Elaine Rossi Ribeiro, and Izabel Cristina Meister Martins Coelho. "Desenvolvimento e Validação de Instrumento para Avaliação das Competências Gerais nos Cursos da Área da Saúde." Revista Brasileira de Educação Médica 43, no. 1 suppl 1 (2019): 598–605. http://dx.doi.org/10.1590/1981-5271v43suplemento1-20190055.
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ABSTRACT The evaluation of the General Competencies in undergraduate courses in the healthcare area remains challenging. Objectives To develop an instrument for supporting teaching staff in evaluating the General Competencies of undergraduate students in the healthcare area; to test the reliability of the instrument with teachers and students of the same working field; validate the instrument of General Competencies, directed to teachers and students from the health area. Methods the present was a Methodological study, approved by REC N. 826.770. The validation of the construct, criterion and content based on the National Curricular Guidelines (NCG), and the search for a theoretical framework were performed, as well as statistical tests such as alpha Cronbach, t Test, p-value, Factorial Analysis, Pearson’s Correlation Coefficient and Akaike Information Criterion, which also ensured the reliability. The study was performed in a Higher Education Institution in Curitiba/PR, in the courses of Nursing, Biomedical Sciences, Pharmacy, Psychology and Medicine. The study population consisted of 50 evaluations of students and 50 of teachers, covering all the periods and courses during the second half of 2014. Results it was possible to create one model with three versions of instruments that evaluated the general competencies for the healthcare area courses. One of these was directed towards the general competencies of 10 courses in the healthcare area, subdivided in Health Care, Decision-making, Communication, Leadership, Administration and Management and Continuing Education, with one instrument directed at the student and another ‘mirror’ at the professor. The second and third versions had three dimensions: Health Care, Management in Healthcare and Education in Health, directed towards the general competencies of the new structure of the NCG of the medical course. The three versions also had an instrument for teachers and a mirror one for students. Conclusion To validate the instrument on General Competencies, directed to teachers and undergraduate students of health area courses, the theoretical search, the NCG and the experts’ evaluation were used for Content Validity; the t Test, Chi-square Test and Pearson’s correlation coefficient were used for Criterion Validation; statistical tests of exploratory and confirmatory factorial analysis and the AIC were used for Construct Validity; and Cronbach’s alpha and the AIC were used for Content validity, using the same steps described for the first goal, to ensure the reliability of the instruments. After this process three versions of the instrument were developed, the first two to be used with teachers and with teachers and students together; and the third version is adequate to be used with students or teachers; and also, for teachers and students together. However, it can be used by all health courses studied.