Relevant bibliographies by topics / Medical sciences Computer network resources

Academic literature on the topic 'Medical sciences Computer network resources'

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Published: 10 December 2022
Last updated: 29 January 2023

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Journal articles on the topic "Medical sciences Computer network resources"

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Peisert, Sean, Eli Dart, William Barnett, Edward Balas, James Cuff, Robert L. Grossman, Ari Berman, Anurag Shankar, and Brian Tierney. "The medical science DMZ: a network design pattern for data-intensive medical science." Journal of the American Medical Informatics Association 25, no. 3 (October 6, 2017): 267–74. http://dx.doi.org/10.1093/jamia/ocx104.

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Abstract Objective We describe a detailed solution for maintaining high-capacity, data-intensive network flows (eg, 10, 40, 100 Gbps+) in a scientific, medical context while still adhering to security and privacy laws and regulations. Materials and Methods High-end networking, packet-filter firewalls, network intrusion-detection systems. Results We describe a “Medical Science DMZ” concept as an option for secure, high-volume transport of large, sensitive datasets between research institutions over national research networks, and give 3 detailed descriptions of implemented Medical Science DMZs. Discussion The exponentially increasing amounts of “omics” data, high-quality imaging, and other rapidly growing clinical datasets have resulted in the rise of biomedical research “Big Data.” The storage, analysis, and network resources required to process these data and integrate them into patient diagnoses and treatments have grown to scales that strain the capabilities of academic health centers. Some data are not generated locally and cannot be sustained locally, and shared data repositories such as those provided by the National Library of Medicine, the National Cancer Institute, and international partners such as the European Bioinformatics Institute are rapidly growing. The ability to store and compute using these data must therefore be addressed by a combination of local, national, and industry resources that exchange large datasets. Maintaining data-intensive flows that comply with the Health Insurance Portability and Accountability Act (HIPAA) and other regulations presents a new challenge for biomedical research. We describe a strategy that marries performance and security by borrowing from and redefining the concept of a Science DMZ, a framework that is used in physical sciences and engineering research to manage high-capacity data flows. Conclusion By implementing a Medical Science DMZ architecture, biomedical researchers can leverage the scale provided by high-performance computer and cloud storage facilities and national high-speed research networks while preserving privacy and meeting regulatory requirements.
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Peisert, Sean, William Barnett, Eli Dart, James Cuff, Robert L. Grossman, Edward Balas, Ari Berman, Anurag Shankar, and Brian Tierney. "The Medical Science DMZ." Journal of the American Medical Informatics Association 23, no. 6 (May 2, 2016): 1199–201. http://dx.doi.org/10.1093/jamia/ocw032.

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Abstract Objective We describe use cases and an institutional reference architecture for maintaining high-capacity, data-intensive network flows (e.g., 10, 40, 100 Gbps+) in a scientific, medical context while still adhering to security and privacy laws and regulations. Materials and Methods High-end networking, packet filter firewalls, network intrusion detection systems. Results We describe a “Medical Science DMZ” concept as an option for secure, high-volume transport of large, sensitive data sets between research institutions over national research networks. Discussion The exponentially increasing amounts of “omics” data, the rapid increase of high-quality imaging, and other rapidly growing clinical data sets have resulted in the rise of biomedical research “big data.” The storage, analysis, and network resources required to process these data and integrate them into patient diagnoses and treatments have grown to scales that strain the capabilities of academic health centers. Some data are not generated locally and cannot be sustained locally, and shared data repositories such as those provided by the National Library of Medicine, the National Cancer Institute, and international partners such as the European Bioinformatics Institute are rapidly growing. The ability to store and compute using these data must therefore be addressed by a combination of local, national, and industry resources that exchange large data sets. Maintaining data-intensive flows that comply with HIPAA and other regulations presents a new challenge for biomedical research. Recognizing this, we describe a strategy that marries performance and security by borrowing from and redefining the concept of a “Science DMZ”—a framework that is used in physical sciences and engineering research to manage high-capacity data flows. Conclusion By implementing a Medical Science DMZ architecture, biomedical researchers can leverage the scale provided by high-performance computer and cloud storage facilities and national high-speed research networks while preserving privacy and meeting regulatory requirements.
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Minaeva, N. V., and D. M. Shiryaeva. "Pollen allergy and supporting information resources." Russian Medical Inquiry 5, no. 1 (2021): 38–42. http://dx.doi.org/10.32364/2587-6821-2021-5-1-38-42.

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Dramatic progress of computer technologies triggered the development of global information space covering almost all areas of human activity. Medical sciences including allergy were no exception. Pollen allergy is a common condition characterized by regional and geographic specifics. Current modalities provide distance relationship between the doctor and patient with pollen allergy, optimize treatment and prevention of exacerbations, and improve the quality of life. There are three types of online resources for patients with pollen allergy, i.e., (1) pollen monitoring and pollen count measurements, (2) pollen allergy clinical sign maps, and (3) resources predicting the risk of exacerbations which contain additional important information. This paper addresses current Russian and European internet resources for patients with pollen allergy. European information programs are a part of public health system being a single network that functions stably for many decades. Domestic online resources have recently appeared and their functioning is unstable. However, these online resources are characterized by promising future development. KEYWORDS: hay fever, pollen allergy, pollen monitoring, symptom, prediction, information resources, internet. FOR CITATION: Minaeva N.V., Shiryaeva D.M. Pollen allergy and supporting information resources. Russian Medical Inquiry. 2021;5(1):38–42. DOI: 10.32364/2587-6821-2021-5-1-38-42.
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Ghani, Arfan, Rawad Hodeify, Chan H. See, Simeon Keates, Dah-Jye Lee, and Ahmed Bouridane. "Computer Vision-Based Kidney’s (HK-2) Damaged Cells Classification with Reconfigurable Hardware Accelerator (FPGA)." Electronics 11, no. 24 (December 19, 2022): 4234. http://dx.doi.org/10.3390/electronics11244234.

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In medical and health sciences, the detection of cell injury plays an important role in diagnosis, personal treatment and disease prevention. Despite recent advancements in tools and methods for image classification, it is challenging to classify cell images with higher precision and accuracy. Cell classification based on computer vision offers significant benefits in biomedicine and healthcare. There have been studies reported where cell classification techniques have been complemented by Artificial Intelligence-based classifiers such as Convolutional Neural Networks. These classifiers suffer from the drawback of the scale of computational resources required for training and hence do not offer real-time classification capabilities for an embedded system platform. Field Programmable Gate Arrays (FPGAs) offer the flexibility of hardware reconfiguration and have emerged as a viable platform for algorithm acceleration. Given that the logic resources and on-chip memory available on a single device are still limited, hardware/software co-design is proposed where image pre-processing and network training were performed in software, and trained architectures were mapped onto an FPGA device (Nexys4DDR) for real-time cell classification. This paper demonstrates that the embedded hardware-based cell classifier performs with almost 100% accuracy in detecting different types of damaged kidney cells.
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Zambrano-Vizuete, Marcelo, Miguel Botto-Tobar, Carmen Huerta-Suárez, Wladimir Paredes-Parada, Darwin Patiño Pérez, Tariq Ahamed Ahanger, and Neilys Gonzalez. "Segmentation of Medical Image Using Novel Dilated Ghost Deep Learning Model." Computational Intelligence and Neuroscience 2022 (August 12, 2022): 1–9. http://dx.doi.org/10.1155/2022/6872045.

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Image segmentation and computer vision are becoming more important in computer-aided design. A computer algorithm extracts image borders, colours, and textures. It also depletes resources. Technical knowledge is required to extract information about distinctive features. There is currently no medical picture segmentation or recognition software available. The proposed model has 13 layers and uses dilated convolution and max-pooling to extract small features. Ghost model deletes the duplicated features, makes the process easier, and reduces the complexity. The Convolution Neural Network (CNN) generates a feature vector map and improves the accuracy of area or bounding box proposals. Restructuring is required for healing. As a result, convolutional neural networks segment medical images. It is possible to acquire the beginning region of a segmented medical image. The proposed model gives better results as compared to the traditional models, it gives an accuracy of 96.05, Precision 98.2, and recall 95.78. The first findings are improved by thickening and categorising the image’s pixels. Morphological techniques may be used to segment medical images. Experiments demonstrate that the recommended segmentation strategy is effective. This study rethinks medical image segmentation methods.
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Wang, Beibei, Binyu Yan, Gwanggil Jeon, Xiaomin Yang, Changjun Liu, and Zhuoyue Zhang. "Lightweight Dual Mutual-Feedback Network for Artificial Intelligence in Medical Image Super-Resolution." Applied Sciences 12, no. 24 (December 13, 2022): 12794. http://dx.doi.org/10.3390/app122412794.

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As a result of hardware resource constraints, it is difficult to obtain medical images with a sufficient resolution to diagnose small lesions. Recently, super-resolution (SR) was introduced into the field of medicine to enhance and restore medical image details so as to help doctors make more accurate diagnoses of lesions. High-frequency information enhances the accuracy of the image reconstruction, which is demonstrated by deep SR networks. However, deep networks are not applicable to resource-constrained medical devices because they have too many parameters, which requires a lot of memory and higher processor computing power. For this reason, a lightweight SR network that demonstrates good performance is needed to improve the resolution of medical images. A feedback mechanism enables the previous layers to perceive high-frequency information of the latter layers, but no new parameters are introduced, which is rarely used in lightweight networks. Therefore, in this work, a lightweight dual mutual-feedback network (DMFN) is proposed for medical image super-resolution, which contains two back-projection units that operate in a dual mutual-feedback manner. The features generated by the up-projection unit are fed back into the down-projection unit and, simultaneously, the features generated by the down-projection unit are fed back into the up-projection unit. Moreover, a contrast-enhanced residual block (CRB) is proposed as each cell block used in projection units, which enhances the pixel contrast in the channel and spatial dimensions. Finally, we designed a unity feedback to down-sample the SR result as the inverse process of SR. Furthermore, we compared it with the input LR to narrow the solution space of the SR function. The final ablation studies and comparison results show that our DMFN performs well without utilizing a large amount of computing resources. Thus, it can be used in resource-constrained medical devices to obtain medical images with better resolutions.
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Amalraj, Jansi Rani, and Robert Lourdusamy. "Security and privacy issues in federated healthcare – An overview." Open Computer Science 12, no. 1 (January 1, 2022): 57–65. http://dx.doi.org/10.1515/comp-2022-0230.

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Abstract Securing medical records is a significant task in Healthcare communication. The major setback during the transfer of medical data in the electronic medium is the inherent difficulty in preserving data confidentiality and patients’ privacy. The innovation in technology and improvisation in the medical field has given numerous advancements in transferring the medical data with foolproof security. In today’s healthcare industry, federated network operation is gaining significance to deal with distributed network resources due to the efficient handling of privacy issues. The design of a federated security system for healthcare services is one of the intense research topics. This article highlights the importance of federated learning in healthcare. Also, the article discusses the privacy and security issues in communicating the e-health data.
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Ahmad, Mubashir, Syed Furqan Qadri, Salman Qadri, Iftikhar Ahmed Saeed, Syeda Shamaila Zareen, Zafar Iqbal, Amerah Alabrah, Hayat Mansoor Alaghbari, and Sk Md Mizanur Rahman. "A Lightweight Convolutional Neural Network Model for Liver Segmentation in Medical Diagnosis." Computational Intelligence and Neuroscience 2022 (March 30, 2022): 1–16. http://dx.doi.org/10.1155/2022/7954333.

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Liver segmentation and recognition from computed tomography (CT) images is a warm topic in image processing which is helpful for doctors and practitioners. Currently, many deep learning methods are used for liver segmentation that takes a long time to train the model which makes this task challenging and limited to larger hardware resources. In this research, we proposed a very lightweight convolutional neural network (CNN) to extract the liver region from CT scan images. The suggested CNN algorithm consists of 3 convolutional and 2 fully connected layers, where softmax is used to discriminate the liver from background. Random Gaussian distribution is used for weight initialization which achieved a distance-preserving-embedding of the information. The proposed network is known as Ga-CNN (Gaussian-weight initialization of CNN). General experiments are performed on three benchmark datasets including MICCAI SLiver’07, 3Dircadb01, and LiTS17. Experimental results show that the proposed method performed well on each benchmark dataset.
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Siddike, Md Abul Kalam, and Md Shiful Islam. "Acceptance of E-Resources by the Medical Researchers of International Centre for Diarrhoeal Disease Research, Bangladesh (ICDDR,B)." Journal of Information & Knowledge Management 13, no. 02 (June 2014): 1450012. http://dx.doi.org/10.1142/s0219649214500129.

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The purpose of this paper is to describe the acceptance of e-resources by the medical researchers of International Centre for Diarrhoeal Disease Research, Bangladesh (ICDDR,B) and its objective is to explore the tendency and frequency of using e-resources by them. Also, this article investigates the purposes, impact, influential factors and barriers of using e-resources by the medical researchers of ICDDR,B. A survey has been conducted by using a short and well-structured questionnaire that was distributed among 120 medical researchers in ICDDR,B. We received 96 questionnaires duly filled up by the respondents with a response rate of 79.99%. The gathered data have been analysed and presented using the descriptive analysis techniques of SPSS 20.0. Findings show that the medical researchers of ICDDR,B show positive attitude towards using e-resources, and researchers use e-resources frequently. Results also indicate that e-resources are very useful to the medical researchers, and MEDLINE is the most used database among the medical researchers of ICDDR,B. The study is based on only ICDDR,B and does not cover all medical (public and private) institutions of Bangladesh. Therefore, further studies would be carried out covering public and private medical institutions in Bangladesh.
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Kim, Meen Chul, Seojin Nam, Fei Wang, and Yongjun Zhu. "Mapping scientific landscapes in UMLS research: a scientometric review." Journal of the American Medical Informatics Association 27, no. 10 (October 1, 2020): 1612–24. http://dx.doi.org/10.1093/jamia/ocaa107.

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Abstract Objective The Unified Medical Language System (UMLS) is 1 of the most successful, collaborative efforts of terminology resource development in biomedicine. The present study aims to 1) survey historical footprints, emerging technologies, and the existing challenges in the use of UMLS resources and tools, and 2) present potential future directions. Materials and Methods We collected 10 469 bibliographic records published between 1986 and 2019, using a Web of Science database. graph analysis, data visualization, and text mining to analyze domain-level citations, subject categories, keyword co-occurrence and bursts, document co-citation networks, and landmark papers. Results The findings show that the development of UMLS resources and tools have been led by interdisciplinary collaboration among medicine, biology, and computer science. Efforts encompassing multiple disciplines, such as medical informatics, biochemical sciences, and genetics, were the driving forces behind the domain’s growth. The following topics were found to be the dominant research themes from the early phases to mid-phases: 1) development and extension of ontologies and 2) enhancing the integrity and accessibility of these resources. Knowledge discovery using machine learning and natural language processing and applications in broader contexts such as drug safety surveillance have recently been receiving increasing attention. Discussion Our analysis confirms that while reaching its scientific maturity, UMLS research aims to boundary-span to more variety in the biomedical context. We also made some recommendations for editorship and authorship in the domain. Conclusion The present study provides a systematic approach to map the intellectual growth of science, as well as a self-explanatory bibliometric profile of the published UMLS literature. It also suggests potential future directions. Using the findings of this study, the scientific community can better align the studies within the emerging agenda and current challenges.
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Dissertations / Theses on the topic "Medical sciences Computer network resources"

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Williams, Patricia A. "An investigation into the use of the internet for medical informatics." Thesis, Edith Cowan University, Research Online, Perth, Western Australia, 2001. https://ro.ecu.edu.au/theses/1031.

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The rapid evolution and popularity of the Internet technologies, and the World Wide Web, have resulted in unrestricted worldwide access to medical and health information. This has provided the medical profession with the ability to access up to date research more immediately than by traditional means, and has created the potential for advanced information collation. Also the availability of medical literature, previously difficult to obtain for the general public, is having an effect that is both a benefit and a burden to the medical profession. Whilst benefits exist in the use of the Internet in General Practice for clinical support, communication and education, there are also barriers to its inclusion in daily clinical practice. These include the issues of security, access availability, quality, time, research experience and Internet navigation familiarity. Questions remain as to whether or not the Internet can be used in General Practice efficiently, in order to provide a significant advantage over traditional information dissemination methods. This issue is also relevant for other primary health care providers such as pharmacists. In Australia, there has been a relatively slow adoption of both the technology and the use of the Internet for acquiring clinical and medical information. This thesis investigates the current issues surrounding the use of the Internet in general practice and pharmacy in Western Australia. The underlying assumption that the Internet is a useful tool for such information retrieval is examined in terms of useability and usefulness in clinical practice. Further the attitudes to the use of the Internet technology as an effective medium of information delivery were sought.
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Vuza, Xolisa. "Social and technical issues of IP-based multi-modal semi-synchronous communication: rural telehealth communication in South Africa." Thesis, University of the Western Cape, 2005. http://etd.uwc.ac.za/index.php?module=etd&amp.

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Most rural areas of developing countries are faced with problems like shortage of doctors in hospitals, illiteracy and poor power supply. Because of these issues, Information and Communication Technology (ICT) is often sees as a useful solution for these areas. Unfortunately, the social environment is often ignored. This leads to inappropriate systems being developed for these areas. The aims of this thesis were firstly, to learn how a communication system can be built for a rural telehealth environment in a developing country, secondly to learn how users can be supported to use such a system.
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Wong, Nga-man, and 黃雅敏. "Quality evaluation of geriatric health information on Yahoo! Answers : a cross-cultural comparative study." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2013. http://hdl.handle.net/10722/193007.

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Given the increases on global ageing population, popularity of social Q&A sites and the level of geriatric health concerns from family caregivers, it raises the uncertainty about the quality of health information on social Q&A sites for family caregivers of elderly. The purposes of this study are to evaluate the quality of geriatric health information on social Questions and Answers (Q&A) sites: Yahoo! Answers from registered nurses’ perspective, to identify the structural patterns of questions and answers vary in quality and to discover the cultural aspects in relation to the findings. A total of 60 question-answers set is retrieved from regional Yahoo! Answers sites, including Australia, Canada, UK & Ireland, US, Hong Kong, Mainland China and Taiwan. 126 English answers and 112 Chinese answers are examined. Through a mixed method approach, results show that the overall information quality provided in Chinese group is relatively poorer than those of English. About 40% of questioners form both groups are not capable of judging the best answer among choices. In terms of structural patterns, questioners from both language groups are less capable of asking questions with clear focuses. 4 structural patterns, including Chinese and English answers with good and poor quality, are identified. Furthermore, cultural differences are found to have a significant impact on the level of information quality in social Q&A site. Finally, recommendations to corresponding social sectors are made for improving the current information quality of social Q&A sites in future.
published_or_final_version
Library and Information Management
Master
Master of Science in Library and Information Management
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Coleman, Alfred. "Developing an e-health framework through electronic healthcare readiness assessment." Thesis, Nelson Mandela Metropolitan University, 2010. http://hdl.handle.net/10948/1519.

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The major socio-economic development challenges facing most African countries include economic diversification, poverty, unemployment, diseases and the unsustainable use of natural resources. The challenge of quality healthcare provisioning is compounded by the HIV/AIDS pandemic in Sub Saharan Africa. However, there is a great potential in using electronic healthcare (e-health) as one of the supportive systems within the healthcare sector to address these pressing challenges facing healthcare systems in developing countries, including solving inequalities in healthcare delivery between rural and urban hospitals/clinics. The purpose of this study was to compile a Provincial E-health Framework (PEHF) based on the feedback from electronic healthcare readiness assessments conducted in selected rural and urban hospitals/clinics in the North West Province in South Africa. The e-healthcare readiness assessment was conducted in the light of effective use of ICT in patient healthcare record system, consultation among healthcare professionals, prescription of medication, referral of patients and training of healthcare professionals in ICT usage. The study was divided into two phases which were phases 1 and 2 and a qualitative design supported by a case study approach was used. Data were collected using different techniques to enhance triangulation of data. The techniques included group interviews, qualitative questionnaires, photographs, document analysis and expert opinions. The outcome of the assessment led to the compilation of the PEHF which was based on Service Oriented Architecture (SOA). SOA was chosen to integrate the hospitals/clinics‟ ICT infrastructure yet allowing each hospital/clinic the autonomy to control its own ICT environment. To assist hospitals/clinics integrate their ICT resources, this research study proposed an Infrastructure Network Architecture which clustered hospitals/clinics to share common ICT infrastructure instead of duplicating these resources. Furthermore, processes of the e-health services (e-patient health IV record system, e-consultation system, e-prescription system, e-referral system and e-training system) were provided to assist in the implementation of the PEHF. Finally, a set of guidelines were provided by the research study to aid the implementation of the PEHF.
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LI, QI. "ENERGY EFFICIENT EMBEDDED SYSTEM DESIGN FOR MEDICAL CARE SYSTEM USING WIRELESS SENSOR NETWORK." VCU Scholars Compass, 2008. http://scholarscompass.vcu.edu/etd/1624.

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Recent surveys on medical service systems show that the cost of patient monitoring has grown significantly. The widespread use of portable digital medical device makes it possible to provide a more comprehensive tracking of patient conditions. However, the development of a full scale, distributed health monitoring system is much delayed due to the lack of efficient wireless communication in a large distributed network. This becomes a challenging research topic which is to find a way to provide accurate and real time patient information to medical experts in a fast, efficient and cost effective fashion. This paper proposes a novel solution on building a system which links patients and doctors together using embedded system technology and wireless sensor network. The content presented in this thesis introduces the design and implement of such a system.
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Borgardt, M. Luther. "Attitudes towards the use of computers by registered nurses." CSUSB ScholarWorks, 2005. https://scholarworks.lib.csusb.edu/etd-project/2616.

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Hendrickson, David B. "Computer-Aided Performance Analysis using Product-Form Queueing Networks to Model Steady-State Behavior: An Examination of a Medical Device Communications Network." NSUWorks, 2001. http://nsuworks.nova.edu/gscis_etd/580.

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Healthcare information systems share records through common messaging standards and exchange information via universal network communications protocols. This interaction benefits hospitals by lowering administration costs and improving the accuracy of recorded information. This sharing and exchanging of information benefits patients by providing easier access to medical records, enabling point-of-care services, and simplifying retrieval of real-time patient data resulting in better patient care. Bedside medical device data complements the overall healthcare information system by providing a more complete understanding of a patient's health. This dissertation presents a simulation based on a standard network communications protocol for medical devices. This researcher addressed the problem that the use of the IEEE 1073 communications protocol to facilitate communication between legacy medical devices and hospital information systems is not adequately understood. The goal of this research was to further develop the understanding of such a system. The objective of this study was to develop a simulation model based on a reasonable approximation of a hypothetical system to identify the parameters involved and quantify its performance characteristics using real-world inputs. A model was developed using product-form queueing networks to model the steady-state behavior of a medical device communications system. The simulation model consisted of elements representing both physical and logical resources. Only the Physical and Data-Link Open Systems Interconnection (OSI) layers were considered. System configurations were limited to those defined by the IEEE 1073 communications protocol that support legacy medical devices. The inputs to the model consisted of real –world information compiled from vendor data specifications including physical communication mediums, microprocessors, medical devices, and representative software implementations. The results of the simulation suggest that a medical device communications network employing an IEEE 1073 communications protocol can support a limited number of legacy medical devices assuming a I -limited round-robin scheduling policy with a store and- forward data coherency strategy. However, under heavily loaded conditions, it is inadequate to deliver data generated from periodic multi -class work-loads in a timely manner. This conclusion demonstrates the need for an efficient medium access protocol schedule specification.
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Kaercher, Deborah J. "The development of a south Texas health information gateway : negotiating the construction of information." Thesis, Edith Cowan University, Research Online, Perth, Western Australia, 2007. https://ro.ecu.edu.au/theses/300.

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This study examines the challenges, issues and complexities surrounding the construction of information for a South Texas Internet-based, health information gateway. It explores the collaborative and negotiated power dimensions and partnerships that supported this effort and the implications of online technological innovation for women's health choices. The context of the study is the online South Texas Health Information Gateway, a health information and communications-based effort that emerged in response to a stated community need to improve access to local, relevant and time-sensitive health information, resources and support for women and their families.
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Veronin, Michael A. "The Validity of Health Claims on the World Wide Web: A Case Study of the Herbal Remedy Opuntia." Thesis, University of North Texas, 2000. https://digital.library.unt.edu/ark:/67531/metadc2441/.

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The World Wide Web has become a significant source of medical information for the public, but there is concern that much of the information is inaccurate, misleading, and unsupported by scientific evidence. This study analyzes the validity of health claims on the World Wide Web for the herbal Opuntia using an evidence-based approach, and supports the observation that individuals must critically assess health information in this relatively new medium of communication. A systematic search by means of nine search engines and online resources of Web sites relating to herbal remedies was conducted and specific sites providing information on the cactus herbal remedy from the genus Opuntia were retrieved. Validity of therapeutic health claims on the Web sites was checked by comparison with reports in the scientific literature subjected to two established quality assessment rating instruments. 184 Web sites from a variety of sources were retrieved and evaluated, and 98 distinct health claims were identified. 53 scientific reports were retrieved to validate claims. 25 involved human subjects, and 28 involved animal or laboratory models. Only 33 (34%) of the claims were addressed in the scientific literature. For 3% of the claims, evidence from the scientific reports was conflicting or contradictory. Of the scientific reports involving human subjects, none met the predefined criteria for high quality as determined by quality assessment rating instruments. Two-thirds of the claims were unsupported by scientific evidence and were based on folklore, or indirect evidence from related sources. Information on herbal remedies such as Opuntia is well represented on the World Wide Web. Health claims on Web sites were numerous and varied widely in subject matter. The determination of the validity of information about claims made for herbals on the Web would help individuals assess their value in medical treatment. However, the Web is conducive to dubious health information and individuals should exercise caution in accepting health claims unsupported by scientific evidence.
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Lakay, Denise. "An investigation into the effect of power distance as a factor that facilitates the implementation of a computerized hospital information system." Thesis, Peninsula Technikon, 2005. http://hdl.handle.net/20.500.11838/1373.

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Thesis (MTech (Information Technology))--Peninsula Technikon, Cape Town, 2005
The overall objective of this study is to identify the importance of culture in the implementation of Information systems and how output influences the success of a system. • The first objective is to assess the organizational culture in each hospital in terms of one of the dimensions of culture on Hofstede's checklist, namely power distance. • The second objective is to determine whether the speed with which a HIS was implemented was a success at the two academic hospitals in the Western Cape using the reduction of the level of backlog (paper based patient registration records) as a measure of implementation progress.
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Books on the topic "Medical sciences Computer network resources"

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Joseph, Janes, and Vander Kolk Martha, eds. The internet compendium: Subject guides to social sciences, business, and law resources. New York: Neal-Schuman Publishers, 1995.

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Animal Welfare Information Center (U.S.), ed. Selected web sites for biomedical, pharmaceutical, veterinary and animal sciences. Beltsville, Md. (10301 Baltimore Blvd., Beltsville 20705): U.S. Dept. of Agriculture, National Agricultural Library, Animal Welfare Information Center, 1999.

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Joseph, Janes, and Vander Kolk Martha, eds. The Internet compendium: Subject guides to health and science resources. New York: Neal-Schuman Publishers, 1995.

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Parker, James N., and Philip M. Parker. Chondroitin: A medical dictionary, bibliography, and annotated research guide to Internet references. San Diego, CA: ICON Health Publications, 2003.

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Parker, Philip M., and James N. Parker. Nitric oxide: A medical dictionary, bibliography, and annotated research guide to Internet references. San Diego, CA: ICON Health Publications, 2004.

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Parker, Philip M., and James N. Parker. Biotin: A medical dictionary, bibliography, and annotated research guide to Internet references. San Diego, CA: ICON Health Publications, 2004.

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1944-, Fitzpatrick Joyce J., and Montgomery Kristen S, eds. Internet resources for nurses. 2nd ed. New York: Springer Pub., 2003.

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Parker, James N., and Philip M. Parker. Pseudomonas: A medical dictionary, bibliography, and annotated research guide to Internet references. San Diego, CA: ICON Health Publications, 2004.

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Parker, Philip M., and James N. Parker. Staphylococcus: A medical dictionary, bibliography, and annotated research guide to Internet references. San Diego, CA: ICON Health Publications, 2004.

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Parker, James N., and Philip M. Parker. Carbohydrates: A medical dictionary, bibliography and annotated research guide to Internet references. San Diego, CA: ICON Health Publ;ications, 2003.

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Book chapters on the topic "Medical sciences Computer network resources"

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Kuptsov, Dmitriy, Boris Nechaev, and Andrei Gurtov. "Securing Medical Sensor Network with HIP." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 150–57. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-29734-2_21.

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Chini, Paolo, Giovanni Giambene, Danilo Bartolini, Michele Luglio, and Cesare Roseti. "Cross-Layer Management of Radio Resources in an Interactive DVB-RCS-Based Satellite Network—(Invited Paper)." In Computer and Information Sciences - ISCIS 2005, 124–35. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11569596_15.

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Velevski, Bojan, Valentin Rakovic, and Liljana Gavrilovska. "Implications of Network Resources and Topologies Over SDN System Performances." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 25–31. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-92213-3_4.

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Ye, Lunqiang. "Optimization of Rational Scheduling Method for Cloud Computing Resources Under Abnormal Network." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 207–15. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-36402-1_22.

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Lu, Xing-hua, Ling-feng Zeng, Hao-han Huang, and Wei-hao Yan. "Data Scheduling Method of Social Network Resources Based on Multi-Agent Technology." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 148–58. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-51100-5_13.

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Liu, Hai-long, and Lei-lei Jiang. "Personalized Recommendation Technology of Network Teaching Resources Based on Ant Colony Algorithm." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 171–80. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-63952-5_15.

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Wang, Hui, and Chenming Gu. "Application Scheme of PKI System in Wireless Medical Data Transmission Network." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 387–95. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-90802-1_34.

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Wang, Xinguo, Run Hu, Lutao Wang, Dongrui Gao, Yuyuan Su, and Bin Yang. "An Efficient Network-Wide Reliable Broadcast Protocol for Medical Sensor Networks." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 34–44. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-71061-3_3.

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Nguyen, Ha Huy Cuong, Hong Minh Nguyen, and Trung Son Doan. "The Method of Maintaining Data Consistency in Allocating Resources for the P2P Network Model." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 155–65. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-77818-1_15.

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Jiang, Lei-lei, Rong Xu, and Hai-long Liu. "Dynamic Adjustment Mechanism of Intelligent Classroom Learning Resources in Universities Based on Network Teaching Platform." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 181–92. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-63952-5_16.

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Conference papers on the topic "Medical sciences Computer network resources"

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Phakathi, Thulani, Bukohwo Michael Esiefarienrhe, and Francis Lugayizi. "Comparative Analysis of Quality of Service Scheduling Classes in Mobile Ad-Hoc Networks." In 11th International Conference on Computer Science and Information Technology (CCSIT 2021). AIRCC Publishing Corporation, 2021. http://dx.doi.org/10.5121/csit.2021.110717.

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Abstract:
Quality of Service (QoS) is now regarded as a requirement for all networks in managing resources like bandwidth and avoidance of network impairments like packet loss, jitter, and delay. Media transfer or streaming would be virtually impossible if QoS parameters were not used even if the streaming protocols were perfectly designed. QoS Scheduling classes help in network traffic optimization and the priority management of packets. This paper presents an analysis of QoS scheduling classes using video traffic in a MANET. The main objective was to identify a scheduling class that provides better QoS for video streaming. A simulation was conducted using NetSim and results were analyzed according to throughput, jitter, and delay. The overall results showed that extended real-time Polling Service (ertPS) outperformed the other classes. ertPS has hybrid features of both real-time Polling Service (rtPS) and Unsolicited Grant Service(UGS) hence the enhanced performance. It is recommended that ertPS scheduling class should be used in MANET where QoS consideration is utmost particularly in multimedia streaming applications.
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Cadere, Christian, Dominique Barth, and Sandrine Vial. "Virtualization and allocation of network service resources using graph embedding." In 2008 23rd International Symposium on Computer and Information Sciences (ISCIS). IEEE, 2008. http://dx.doi.org/10.1109/iscis.2008.4717942.

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Huixiang Zhang and Ming Liu. "A chance-constrained programming model for medical resources order and distribution scheduling based on time-space network." In 2015 International Conference on Logistics, Informatics and Service Sciences (LISS). IEEE, 2015. http://dx.doi.org/10.1109/liss.2015.7369631.

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Wan, Fang. "The Application and Research of Web Log Mining in Network Resources of Ceramic Information." In 2015 5th International Conference on Computer Sciences and Automation Engineering (ICCSAE 2015). Paris, France: Atlantis Press, 2016. http://dx.doi.org/10.2991/iccsae-15.2016.64.

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Xu, Jiangchun, Jiande Wu, Zhou Wan, Xiaoping Xu, and Yan Chen. "Notice of Retraction: Web-based learning of computer courses resources design and the management policy based on campus network." In 2010 IEEE International Conference on Software Engineering and Service Sciences (ICSESS 2010). IEEE, 2010. http://dx.doi.org/10.1109/icsess.2010.5552315.

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Singh Brar, Iqbal. "Digital Information Literacy among Health Sciences Professionals: A Case Study of GGS Medical College, Faridkot, Punjab, India." In InSITE 2015: Informing Science + IT Education Conferences: USA. Informing Science Institute, 2015. http://dx.doi.org/10.28945/2149.

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This paper is basically a case study and an attempt has been made to highlight the information literacy skills among the health science professionals i.e. teachers and postgraduate students of Guru Gobind Singh Medical College (constitute college of Baba Farid University of Health Sciences), Faridkot. The information literacy has various parts such as Computer Literacy, Library Literacy, Media Literacy, Network Literacy and Digital Literacy. The present study is only focused on the assessment of digital information literacy among the health sciences professionals within the scope of the study. The data for the study was collected by using a questionnaire and interviews were also conducted to fill up the gap of the area in health domain special reference to Baba Farid University of Health Sciences, Faridkot.
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