Dissertations / Theses on the topic 'Data quality indicators'
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Tiano, Donato. "Learning models on healthcare data with quality indicators." Electronic Thesis or Diss., Lyon 1, 2022. http://www.theses.fr/2022LYO10182.
Full textTime series are collections of data obtained through measurements over time. The purpose of this data is to provide food for thought for event extraction and to represent them in an understandable pattern for later use. The whole process of discovering and extracting patterns from the dataset is carried out with several extraction techniques, including machine learning, statistics, and clustering. This domain is then divided by the number of sources adopted to monitor a phenomenon. Univariate time series when the data source is single and multivariate time series when the data source is multiple. The time series is not a simple structure. Each observation in the series has a strong relationship with the other observations. This interrelationship is the main characteristic of time series, and any time series extraction operation has to deal with it. The solution adopted to manage the interrelationship is related to the extraction operations. The main problem with these techniques is that they do not adopt any pre-processing operation on the time series. Raw time series have many undesirable effects, such as noisy points or the huge memory space required for long series. We propose new data mining techniques based on the adoption of the most representative features of time series to obtain new models from the data. The adoption of features has a profound impact on the scalability of systems. Indeed, the extraction of a feature from the time series allows for the reduction of an entire series to a single value. Therefore, it allows for improving the management of time series, reducing the complexity of solutions in terms of time and space. FeatTS proposes a clustering method for univariate time series that extracts the most representative features of the series. FeatTS aims to adopt the features by converting them into graph networks to extract interrelationships between signals. A co-occurrence matrix merges all detected communities. The intuition is that if two time series are similar, they often belong to the same community, and the co-occurrence matrix reveals this. In Time2Feat, we create a new multivariate time series clustering. Time2Feat offers two different extractions to improve the quality of the features. The first type of extraction is called Intra-Signal Features Extraction and allows to obtain of features from each signal of the multivariate time series. Inter-Signal Features Extraction is used to obtain features by considering pairs of signals belonging to the same multivariate time series. Both methods provide interpretable features, which makes further analysis possible. The whole time series clustering process is lighter, which reduces the time needed to obtain the final cluster. Both solutions represent the state of the art in their field. In AnomalyFeat, we propose an algorithm to reveal anomalies from univariate time series. The characteristic of this algorithm is the ability to work among online time series, i.e. each value of the series is obtained in streaming. In the continuity of previous solutions, we adopt the functionality of revealing anomalies in the series. With AnomalyFeat, we unify the two most popular algorithms for anomaly detection: clustering and recurrent neural network. We seek to discover the density area of the new point obtained with clustering
Lai, Yuk-lin. "Analysis of incomplete survey data with application to the construction of social indicators of Hong Kong /." Hong Kong : University of Hong Kong, 1998. http://sunzi.lib.hku.hk/hkuto/record.jsp?B19929523.
Full textNtshuntshe-Matshaya, Pateka Patricia. "Investigating the relevance of quality measurement indicators for South African higher education libraries." University of the Western Cape, 2021. http://hdl.handle.net/11394/8337.
Full textThis study investigates the relevance of quality measurement indicators at higher education libraries for faculty academics, librarians, and students. The study followed a mixed-method design with a mixture of quantitative and qualitative data collection. Faculty academics, librarians and students ranked the existing quality measurement indicators for South African higher education libraries. The findings revealed that for library quality measures to meet the needs of faculty academics, librarians, and students, the resources must be accessible both physically and virtually, and staff should be accountable and willing to offer services responsive to the users' needs and expectations of a safe, secure, and comfortable library space, be it physical or virtual. The qualitative data highlighted the importance of adequate resources and the adoption of new developments as measures for quality. Quality measurement indicators must include elements such as adequate funding; relevant resources aligned with teaching and learning programmes; programmes that are integrated into teaching plans; effective supplier collaboration with respect to the process of acquiring relevant learning materials; effective student training; communication of the value of library services and alignment with the student learning outcomes; research support in a digital environment with e-tools and website navigability; research data management; and open access, which is a prominent role of the library. Based on the data, there was a quality measure (process) that was commendable even though it did not form part of the existing quality measures nor a service whose relevance was assessed. The separation of undergraduate and postgraduate learning spaces was amongst those services that ranked quite high from the students' responses (qualitative data). Even though there were differences emphasized on each indicator by either faculty academics or students, there were also discrepancies in the interpretation of what each quality indicator means to each study population group. As the study of this nature has recommendations and gaps identified in terms of research findings, it is quite important to record that there was a series of gaps that were identified in terms of library expectations and perceptions. These gaps were suggested as part of further research that must be conducted to fill the void in terms of library users’ voices in the development of higher education library measurement indicators.
Rojas-Candio, Piero, Arturo Villantoy-Pasapera, Jimmy Armas-Aguirre, and Santiago Aguirre-Mayorga. "Evaluation Method of Variables and Indicators for Surgery Block Process Using Process Mining and Data Visualization." Repositorio Academico - UPC, 2021. http://hdl.handle.net/10757/653799.
Full textIn this paper, we proposed a method that allows us to formulate and evaluate process mining indicators through questions related to the process traceability, and to bring about a clear understanding of the process variables through data visualization techniques. This proposal identifies bottlenecks and violations of policies that arise due to the difficulty of carrying out measurements and analysis for the improvement of process quality assurance and process transformation. The proposal validation was carried out in a health clinic in Lima (Peru) with data obtained from an information system that supports the surgery block process. Finally, the results contribute to the optimization of decision-making by the medical staff involved in the surgery block process.
Revisión por pares
Hackl, Peter, and Michaela Denk. "Data Integration: Techniques and Evaluation." Austrian Statistical Society, 2004. http://epub.wu.ac.at/5631/1/435%2D1317%2D1%2DSM.pdf.
Full textMiranda, Inês Brás de Moura Duarte. "KPIs as a measure for quality in master data." Master's thesis, Instituto Superior de Economia e Gestão, 2017. http://hdl.handle.net/10400.5/14590.
Full textNuma época em que as empresas estão a dar mais e mais importância à implementação de sistemas de informação para suportar o seu negócio, o termo Master Data está a tornar-se mais usual uma vez que concerne a informação mais importante de uma empresa (p.e. dados de clientes e colaboradores). Manter níveis elevados de qualidade para estes dados é um desafio que precisa de ser medido através de indicadores de performance (p.e. Key Performance Indicators). O presente estudo tem o objetivo de investigar a definição, cálculo, divulgação e uso de Key Performance Indicators numa empresa multinacional. Para este propósito, uma formação de 6 meses foi providenciada pela empresa para explicar como calcular estes valores e como obter toda a informação necessária relativamente a estes indicadores dentro do departamento de Recursos Humanos. A análise mostrou que, apesar dos KPIs existentes estarem bem definidos e serem bem calculados, não são suficientes para incluir todas as classes de master data e são também muito abrangentes, tornando quase impossível que seja encontrada a raíz do problema dos RH na empresa.
In a time where companies are giving more and more importance to the implementation of information systems to support their businesses, the term Master Data is becoming more usual since it concerns the core information of a company (e.g. customer and employee data). Maintaining the highest quality for this data is nevertheless a challenge that needs to be measured through performance measures (for example: Key Performance Indicators). The present case study has the purpose of investigating the definition, calculation, divulgation and use of Key Performance Indicators within a multinational company. To this end, a training of 6 months was provided by the company to teach participants how to calculate these values and also how to obtain all the necessary information regarding these indicators within the Human Resources department. The analysis showed that, even though the existing KPIs are well defined and calculated, they are not enough to include all existing master data classes and are also too wide-ranging, making it almost impossible to find the root of the HR problems within the company.
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Breuler, Lindsay Mildred. "Developing Ohio 4-H Horse Project Quality Indicators through the Analysis of Enrollment Data and Volunteer Leader Discourse: A Mixed Model Approach." The Ohio State University, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=osu1429549736.
Full textCampbell, William W. III. "A COMPARISON OF QUALITY INDICATORS BETWEEN MEDICARE ACCOUNTABLE CARE ORGANIZATIONS AND HEALTH MAINTENANCE ORGANIZATIONS USING PUBLICLY AVAILABLE DATA." VCU Scholars Compass, 2018. https://scholarscompass.vcu.edu/etd/5284.
Full textBentley, Tabitha Anne. "Performance Improvement Data and Staff Responsibility." ScholarWorks, 2017. https://scholarworks.waldenu.edu/dissertations/3485.
Full textElefante, Elena. "Integrating Patient Reported Outcomes, clinical data and quality indicators to physician driven data in clinical management of chronic rheumatic diseases: the paradigm of Systemic Lupus Erythematosus (SLE)." Doctoral thesis, Università di Siena, 2021. http://hdl.handle.net/11365/1160790.
Full textLai, Yuk-lin, and 賴玉蓮. "Analysis of incomplete survey data with application to the construction of social indicators of Hong Kong." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1998. http://hub.hku.hk/bib/B31215440.
Full textPalmer, William. "Measuring the quality and safety of hospital care using specialty-specific indicators based on routinely collected administrative data : a feasibility study." Thesis, Imperial College London, 2014. http://hdl.handle.net/10044/1/24697.
Full textHalbherr, Verena [Verfasser], and Beatrice [Akademischer Betreuer] Rammstedt. "Data Quality in Cross-National Surveys. A Longitudinal and Cross-Cultural Analysis of the Quality Indicators Response Rate, Fieldwork Efforts, and Nonresponse Bias / Verena Halbherr ; Betreuer: Beatrice Rammstedt." Mannheim : Universitätsbibliothek Mannheim, 2017. http://d-nb.info/1137877170/34.
Full textRicha, Jean Raphaël. "Amélioration de l'ingénierie des données dans les environnements connectés grâce à la détection de la propagation et de l'obsolescence des données." Electronic Thesis or Diss., Pau, 2024. http://www.theses.fr/2024PAUU3077.
Full textThe relentless expansion of digital technologies has enhanced the capabilities of collecting, visualizing, analyzing, and autonomously managing the environment surrounding us.Intelligent and increasingly connected is the prevailing trend within the rising metaverse, where connected environments are driven to gather a plethora of data.These environments contribute to a better understanding of human activities, improve quality of life, and ease paths for sustainability.This thesis introduces two pivotal concepts - zone continuum and data obsolescence - furthering awareness of connected environments by explaining how data crosses between zones and detecting when data becomes irrelevant with respect to its environment.By addressing these overlooked aspects, we aim to improve data interpretation and management within connected environments.This thesis addresses four key challenges: (1) designing a deep and expressive data model that effectively captures the core components of connected environments, such as hosting zones, smart devices, and their corresponding sensor networks; (2) establishing a mechanism to discover and trace how data propagates between different zones; (3) proposing a large-scale approach to detect data obsolescence while considering the entire environment; and (4) handling the dynamic nature of the CE that could be illustrated by the mobility and failure of the devices, as well as modifications in zone configurations (e.g., combining multiple zones into one or dividing a single zone into several).To address these challenges, we first propose the HSSN+ data model, which underpins a resilient representation of the elements in connected environments.Consequently, in light of this model, we put forward two interconnected frameworks. The first one is the Zone Continuum Computation for Connected Environments (ZCCCE) framework that formalizes the zone continuum concept and enables to understand how data moves between zones. The second one is the Data Obsolescence Detection in Connected Environments (DODCE) framework which offers a structured approach to identify and compute the data obsolescence based on predefined quality indicators.These two frameworks provide opportunities for effective control and understanding in connected environments
Labenne, Amaury. "Méthodes de réduction de dimension pour la construction d'indicateurs de qualité de vie." Thesis, Bordeaux, 2015. http://www.theses.fr/2015BORD0239/document.
Full textThe purpose of this thesis is to develop and suggest new dimensionreduction methods to construct composite indicators on a municipal scale. The developedstatistical methodology highlights the consideration of the multi-dimensionalityof the quality of life concept, with a particular attention on the treatment of mixeddata (quantitative and qualitative variables) and the introduction of environmentalconditions. We opt for a variable clustering approach and for a multi-table method(multiple factorial analysis for mixed data). These two methods allow to build compositeindicators that we propose as a measure of living conditions at the municipalscale. In order to facilitate the interpretation of the created composite indicators, weintroduce a method of selections of variables based on a bootstrap approach. Finally,we suggest the clustering of observations method, named hclustgeo, which integratesgeographical proximity constraints in the clustering procedure, in order to apprehendthe spatiality specificities better
Nshimiyimana, Jean Marie Mr, Oluwafeyisayo Oyeniyi, Mathew Mr Seiler, Kimberly Ms Hawkins, and Temitope Mr Adeyanju. "Development of Public Health Indicator Visualization Tool." Digital Commons @ East Tennessee State University, 2019. https://dc.etsu.edu/asrf/2019/schedule/32.
Full textImaginário, João Tiago Inverno. "The impact of governance in government debt." Master's thesis, Instituto Superior de Economia e Gestão, 2018. http://hdl.handle.net/10400.5/16581.
Full textEsta dissertação estuda a relação entre os Worldwide Governance Indicators e a Dívida Pública em 164 países para o período entre 2002 e 2015. Para tal, estimaram-se os modelos de fixed effects (FE) e generalized method of moments (GMM). Os resultados sugerem que a qualidade da governance está negativamente e estatisticamente relacionada com a dívida. Para os países de rendimento per capita mais baixo, foi encontrada evidência de que um melhor ambiente de governance está associado a níveis mais baixos de dívida pública.
This dissertation examines the relationship between Worldwide Governance Indicators and Government Debt in 164 countries for the period between 2002 and 2015. For this purpose, fixed effects (FE) and generalized method of moments (GMM) models are estimated. The results suggest that governance quality is negatively and statistically related with government debt. For Low Income countries was found evidence that better governance environment is associated with lower public debt levels.
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PIRES, LUIZ E. B. "Avaliação e identificação da toxidade (Toxicity Identification Evaluation - TIE) do efluente líquido do pólo industrial de Belford Roxo, RJ, e sua contribuição na qualidade das águas do curso inferior do Rio Sarapuí, sub-bacia do Rio Iguaçú, bacia da Baía da Guanabara, RJ, Brasil." reponame:Repositório Institucional do IPEN, 2006. http://repositorio.ipen.br:8080/xmlui/handle/123456789/11476.
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Tese (Doutoramento)
IPEN/T
Instituto de Pesquisas Energeticas e Nucleares - IPEN/CNEN-SP
Santos, Celso Bilynkievycz dos. "Previsão do índice de desenvolvimento humano e da expectativa de vida na América Latina por meio de técnicas de mineração de dados." Universidade Tecnológica Federal do Paraná, 2016. http://repositorio.utfpr.edu.br/jspui/handle/1/2325.
Full textThe predictability of quality of life indicators can contribute to the projection of dependent variables, help decision-making processes to support public policies and justify the scenario experienced by the countries and the world. Aim: This study aimed to predict the Human Development Index (HDI) and life expectancy (LE) in Latin American countries in the period of 2015–2020 using data mining techniques. Methodology: The study followed the steps of Knowledge Discovery in Database (KDD) processes. During the data mining KDD step, the performance of different algorithms with function-based learning paradigms was analyzed. From the algorithm with the best performance, 748 prediction models of univariate and two multivariate were developed to predict the HDI of 187 countries and their results were compared with the last reports from the United Nations Development Program (UNDP) in order to define the most efficient model. The results of these prediction tests were compared with 44 univariate Autoregressive Integrated Moving Average (ARIMA) models. From the definition of the best algorithm of data mining and model, the prediction of HDI and LE for Latin American countries from 2015 and 2020 was done. Results: The SMOReg algorithm and the multivariate models presented the best performance in the tests during the experiment. The average growth in HDI and LE predicted for Latin American countries tend to increase in the period analyzed, 4.99±3.90 % and 2.47±0.09 years, respectively. Conclusion: Multivariate experiences allow better learning of algorithms, increasing their prediction. Mining data techniques present better quality in the predictions compared to Autoregressive Integrated Moving Average (ARIMA), which is the most popular technique. The predictions suggest an average growth in HDI and LE in Latin American countries compared to the world average.
Smith, Tamara L. "Associations between Fecal Indicator Bacteria Prevalence and Demographic Data in Private Water Supplies in Virginia." Thesis, Virginia Tech, 2013. http://hdl.handle.net/10919/50985.
Full textPrevious limited studies indicate that microbial contamination of drinking water from private wells and springs is far from uncommon, ranging from 10% to 68%, depending on type of organism and geological region. With the exception of one thirty-year old government study on rural water supplies, there have been no documented investigations of links between private system water contamination and household demographic characteristics, making the design of effective public health interventions, very difficult.
The goal of the present study is to identify potential associations between concentrations of fecal indicator bacteria (e.g. coliforms, E. coli) in 831 samples collected at the point-of-use in homes with private water supply systems and homeowner-provided demographic data (e.g. homeowner age, household income, education, water quality perception). Household income and the education of the perceived head of household were determined to have an association with bacteria concentrations. However, when a model was developed to evaluate strong associations between total coliform presence and potential predictors, no demographic parameters were deemed significant enough to be included in the final model. Of the 831 samples tested, 349 (42%) of samples tested positive for total coliform and 55 (6.6%) tested positive for E. coli contamination. Chemical and microbial source tracking efforts using fluorometry and qPCR suggested possible E. coli contamination from human septage in 21 cases. The findings of this research can ultimately aid in determining effective strategies for public health intervention and gain a better understanding of interactions between demographic data and private system water quality.
Master of Science
Pires, Luiz Eduardo Botelho. "Avaliação e identificação da toxicidade (Toxicity Identification Evaluation - TIE) do efluente líquido do pólo industrial de Belford Roxo, RJ e sua contribuição na qualidade das águas do corso inferior do Rio Sarapuí, sub-bacia do Rio Iguaçú, Bacia da Baía da Guanabara, RJ, Brasil." Universidade de São Paulo, 2006. http://www.teses.usp.br/teses/disponiveis/85/85134/tde-16052012-080425/.
Full textThe quality of Belford Roxo Industrial Plant effluent and water from Sarapuí River were evaluated with Daphnia similis, Ceriodaphnia dubia and Danio rerio acute and chronic toxicity tests. In association with the ecotoxicological monitoring, the Toxicity Identification Evaluation procedure were performed and the identification of the toxic compounds was possible. The Chloride ion was identified as the major toxic compound in the effluent with additional effects of Metals, Ammonium and Sulfide. For the Sarapuí River, the compounds of Phosphorus and Nitrogen were identified as the major toxic compounds with addictive effects of Metals, Ammonium and Sulfide. Although the environmental impact estimation based on the effluent toxicity suggests a minor impact on the water quality of Sarapuí River, this was already sufficiently contaminated to make impracticable the establishment of an aquatic community. The constant discharge of untreated sludge promotes the eutrophication of this water body and makes impossible the equilibrium of this ecosystem.
Kittur, Gonibasappa Dhananjaya Kumara. "Video Stream Monitoring and Network-centric QoE Prediction through User-behavioral Studies and Automated Learning." Thesis, KTH, Skolan för informations- och kommunikationsteknik (ICT), 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-227853.
Full textKvalitet av erfarenhet (QoE) definieras som: "Graden av fröjd eller förargelse av användaren av en applikation eller en service. Den resulterar från uppfyllelsen av hans eller hennes förväntningar med hänsyn till hjälpmedlet, och/eller njutning av applikationen eller servicen i ljuset av användarens personlighet och aktuella tillstånd" [1]. Att att se till en riktig nivå av QoE för slut användare, nätverk och tjänstefamiljeförsörjare måste övervakar fortlöpande deras system när det gäller tekniska parametrar, som kan därefter vara den van vid bedömningen QoE. Speciellt för videoen som strömmar service, som konsumerar ett stort belopp av trafik, framkallar nätverksproblem liksom bandbreddväxlingar snabbt in i förargliga artefacts som är synliga till användarena, som kan leda till övergivande av service. Internetleverantörer (ISPs) är därför fortlöpande videopp nätverksströmmar för övervakning för att att ge den bättre QoEen. I detta avseende att föra de beteendestudierna för användaren, spenderar ISPsna en stor mängd pengar och energi varje gång. Att undvika denna, använder simulerar vi beteendestudier för existerande användare och användareuppförandet i en automatiserat aktivering och försök för att mäta inverkan av nätverksvillkor. I våra aktuella studier som baseras på den använda användare-beteendemodellen [5], oss kan avsluta som laddar upp lågt hastigheter inte påverkar på simulerat användareuppförande, om inte de är i höga nedladdninghastighetsnätverk. Simulerade användare med mitt–området nedladdar och laddar upp bandbredd ansar för att vända mot mer avbrottsoch kvalitetsströmbrytare som jämförs till både låga och höga bandbreddanvändare. Nyckelkvalitetsindikatorer (KQIs) av video QoE beror också på numret av video som vi mäter i en enkel period. Tillbakaläggande av spelaren hjälper att förminska avbrott för mittoch höga bandbredder. Tillbakaläggande försämrar läget i scenarion för låg bandbredd.
Lauricella, Letícia Leone. "Análise da qualidade de uma base de dados a a partir da implementação do Registro Paulista de Tratamento Cirúrgico de Câncer de Pulmão." Universidade de São Paulo, 2017. http://www.teses.usp.br/teses/disponiveis/5/5156/tde-21022018-094401/.
Full textBACKGROUND: Lung cancer is the third malignant neoplasm most frequently diagnosed worldwide and the first in terms of mortality. Surgical treatment is the best approach in the initial stages; however, it\'s associated with considerable morbidity and mortality. In order to improve the surgical treatment global impact on lung cancer mortality in the state of Sao Paulo, we need to know the quality indicators of the institutions involved in the treatment of this neoplasm through the creation of a extensive, reliable and transparent database. The study involved the implementation of the Paulista Lung Cancer Registry (PLCR). The main outcome was the quality analysis of the data captured through a direct and indirect audit system, in order to identify the variables with the lowest quality standard. METHODS: A prospective, multicenter study with the participation of 10 institutions in the state of São Paulo. The data audit was performed directly, through the revision of medical registries, with the intention to analyze the discordance rate; and indirectly, with the intention to analyze the completeness, accuracy and consistency indexes. RESULTS: Of the 536 cases available, 511 were included for the indirect audit. The total completeness index per questionnaire ranged from 0.82 to 1, and the following variables had a in individual value bellow the established target of 0,8: ECOG, MRC, hematocrit, potassium, urea, creatinine, LDH, albumin, calcium, AF, surgical time, date of recurrence. The total accuracy and consistency index was 0.99 and 0.96, respectively. For direct audit, 100 cases were randomized among the initial 511, of which 4 were excluded, remaining 96 for analysis. The variables with the highest discordance rates ( > 20%) were in the preoperative evaluation questionnaire (ECOG, MRC, smoking rate, COPD, PFT, weight, high, BMI and lab tests). Variables related to staging (size of neoplasm, invasion of adjacent structures, noninvasive lymph node status) and surgical data (time of surgery) also presented rates > 20%. CONCLUSIONS: Regarding the established standards, the Indirect audit showed acceptable completeness, accuracy and consistency indices, comparable to international databases. On the other hand, the direct audit revealed some variables with high discordance indices, data that will be analyzed in the future for the improvement of the PLCR and that may contribute to the development of other similar databases
Rais, Filip. "Master Data Management, Integrace zákaznických dat a hodnota pro business." Master's thesis, Vysoká škola ekonomická v Praze, 2009. http://www.nusl.cz/ntk/nusl-72428.
Full textSerrano, Balderas Eva Carmina. "Preprocessing and analysis of environmental data : Application to the water quality assessment of Mexican rivers." Thesis, Montpellier, 2017. http://www.theses.fr/2017MONTS082/document.
Full textData obtained from environmental surveys may be prone to have different anomalies (i.e., incomplete, inconsistent, inaccurate or outlying data). These anomalies affect the quality of environmental data and can have considerable consequences when assessing environmental ecosystems. Selection of data preprocessing procedures is crucial to validate the results of statistical analysis however, such selection is badly defined. To address this question, the thesis focused on data acquisition and data preprocessing protocols in order to ensure the validity of the results of data analysis mainly, to recommend the most suitable sequence of preprocessing tasks. We propose to control every step in the data production process, from their collection on the field to their analysis. In the case of water quality assessment, it comes to the steps of chemical and hydrobiological analysis of samples producing data that were subsequently analyzed by a set of statistical and data mining methods. The multidisciplinary contributions of the thesis are: (1) in environmental chemistry: a methodological procedure to determine the content of organochlorine pesticides in water samples using the SPE-GC-ECD (Solid Phase Extraction – Gas Chromatography – Electron Capture Detector) techniques; (2) in hydrobiology: a methodological procedure to assess the quality of water on four Mexican rivers using macroinvertebrates-based biological indices; (3) in data sciences: a method to assess and guide on the selection of preprocessing procedures for data produced from the two previous steps as well as their analysis; and (4) the development of a fully integrated analytics environment in R for statistical analysis of environmental data in general, and for water quality data analytics, in particular. Finally, within the context of this thesis that was developed between Mexico and France, we have applied our methodological approaches on the specific case of water quality assessment of the Mexican rivers Tula, Tamazula, Humaya and Culiacan
Nesvijevskaia, Anna. "Phénomène Big Data en entreprise : processus projet, génération de valeur et Médiation Homme-Données." Thesis, Paris, CNAM, 2019. http://www.theses.fr/2019CNAM1247.
Full textBig Data, a sociotechnical phenomenon carrying myths, is reflected in companies by the implementation of first projects, especially Data Science projects. However, they do not seem to generate the expected value. The action-research carried out over the course of 3 years in the field, through an in-depth qualitative study of multiple cases, points to key factors that limit this generation of value, including overly self-contained project process models. The result is (1) an open data project model (Brizo_DS), orientated on the usage, including knowledge capitalization, intended to reduce the uncertainties inherent in these exploratory projects, and transferable to the scale of portfolio management of corporate data projects. It is completed with (2) a tool for documenting the quality of the processed data, the Databook, and (3) a Human-Data Mediation device, which guarantee the alignment of the actors towards an optimal result
Ferhat, Fouad. "Une analyse économique de la qualité et de l'efficience des universités et des systèmes universitaires : une comparaison au niveau international." Thesis, Paris 1, 2016. http://www.theses.fr/2016PA01E040/document.
Full textThis thesis aims to economically analyze the quality and efficiency of universities and university systems at an international level of comparison, by using input/output indicators and the Data Envelopment Analysis (DEA) method. The thesis is composed of four chapters. The first chapter entitled "university rankings: a critical perspective" presents and evaluates the relevance of inputs/outputs indicators used by most university rankings. It is the opportunity to present a number of criticisms found in the literature and focus on a common methodological problem in the rankings. It is the use of inputs as measures of university quality. This practice confuses means and results and ignores the basic concepts of accounting models in terms of production functions and efficiency. The second chapter entitled "characteristics and rankings of universities : around some factors that can explain the differences in performance between universities", compares the results of two rankings: QS-Times and Shanghai and offers a list of factors that may explain why there are such differences in quality, according to these rankings between universities. [...] The third chapter entitled "performance and efficiency of universities and their determinants: an evaluation using world university rankings and DEA methodology" evaluates on the basis of a DEA methodology the efficiency of 214 universities from 13 different countries, in order to find if the top ranked universities among traditional rankings are also universities that best utilize their financial and human resources. [...] The fourth chapter titled "efficiency of university systems in 35 countries and its determinants: an assessment by DEA methodology and the calculation of Malmquist indices (2006-2012)" assesses the efficiency and performance of university systems of 35 countries. It offers new scores for overall efficiency that complement the first two studies on this topic in the literature by Agasisti (2011) and St.Aubyn et al (2009). Compared to the article of Agasisti (2011), we identify five new developments in our study : the sample is higher (35 countries instead of 18), the observation period is updated, the evolution of efficiency between two periods is calculated, the number of inputs and outputs incorporated into each model is higher and a specific model for evaluating the efficiency of research is proposed. Our study confirms the thesis that the university systems of Switzerland and the United Kingdom are the most efficient. It also shows based on the calculations of Malmquist indices between 2006 and 2012 that teaching efficiency of 35 reviewed university systems has a tendency of declining while the research efficiency and that of attractivity-reputation is rather increasing. This allows a better assessment of the impact of reforms inspired by the Shanghai ranking on university systems. These reforms led the academic staff of universities to abandon their focus on teaching in favor of research activities
Lee, Jean. "Variation in pediatric gastroenteritis admissions among Florida counties, 1995-2002." [Tampa, Fla] : University of South Florida, 2006. http://purl.fcla.edu/usf/dc/et/SFE0001610.
Full textGrac, Corinne. "Fouille temporelle des indicateurs physico-chimiques et biologiques pour l'évaluation de l'état, des pressions et de la capacité de résilience des rivières." Thesis, Strasbourg, 2019. http://www.theses.fr/2019STRAH015.
Full textData from the assessment of river are big data, with complex relationships. Unsupervised data mining methods can be applied on them and give relevant results for their management, if a close collaboration exists between hydroecologists and computer scientists. The extraction of partially ordered patterns from temporal sequences of physicochemical pressures preceding a biological state has been achieved. These temporal patterns allow to identify a part of the pressures involved or not in a degraded ecological status, to specify the importance of the sequences time-length before a biological assessment, to identify the characteristic pressure categories at a regional scale. To go further, we plan to extend these patterns to hydromorphological pressures
PANTINI, SARA. "Analysis and modelling of leachate and gas generation at landfill sites focused on mechanically-biologically treated waste." Doctoral thesis, Università degli Studi di Roma "Tor Vergata", 2013. http://hdl.handle.net/2108/203393.
Full textBoysen, Mark. "An assessment of environmental indicator data quality in GRI sustainability reporting." 2009. http://hdl.handle.net/10170/121.
Full textLing, Jia-bin, and 凌嘉賓. "Design and Manage Data Warehouse using Metadata-an example of Medical Quality Indicators Project." Thesis, 2003. http://ndltd.ncl.edu.tw/handle/98538807496742863154.
Full text國立雲林科技大學
資訊管理系碩士班
91
Abstract In order to improve the medical quality, the medical society of Taiwan successively adopt TQIP and THIS these indicator systems. However, they both meet a problem that data of indicators are hard to apply in management area. Therefore, they use data warehouse technology to integrate and analyze the data of indicators to improve the above problem. In a hospital, they usually waste a lot of strength, resource and time to design, construct and maintain their data warehouse. As a result, some researches propose the concepts and methods of using metadata to construct data warehouse for the purpose of reducing the cost of construct the data warehouse. This research focuses on raising the efficiency and increasing successful opportunity of a hospital when they construct a data warehouse of their indicator project. Therefore, we propose a framework for designing and management data warehouse based on metadata. We establish metadata by XML structure due to its properties and features of strictness and flexibility. The users could comprehend the structure of their data warehouse and manage it simultaneously while they design a data warehouse by the way of recording metadata information of indicators and the structure of the data warehouse. So, the hospital can design and manage the metadata and exchange their experience and thoughts with each other by the way of importing and exporting metadata to the XML documents. Finally, this research implements a prototype system based on the proposed framework to explain the framework’s feasibility, and then proposes our perspectives and questions in the light of a result of examine and evaluate the prototype system and confer the possible future research aspects.
Chen, Li-Chin, and 陳麗津. "Quality of care approach in nursing homes by applying the minimum data set - based on common indicators in Taiwan." Thesis, 2003. http://ndltd.ncl.edu.tw/handle/43435592503012779553.
Full text國立台北護理學院
長期照護研究所
91
The purposes of the study is aimed to explore the quality of nursing home care, and to distinguish the characteristics of nursing homes belongings and resident’s health status effect on the quality of care. We wish the findings will help us to establish countrilized quality indicators of care, draw up Taiwan long-term care policies, and accreditation criteria of nursing home, so far as to threshold of quality indicators. This study used secondary data from the project “Development of Long-term Care Case-Mix and Planning for Financing Long-term Care” (Granted by National Health Academic Yuan, Granted Code: 90SHU025),1999-2001, conducted by Dr. Herng-Chia Chiu, institute of Public Health, Kaohsiung Medical University, from 1999 to 2001, and contained 2,139 residends lived in 52 registered nursing home, located in 8 counties in Taiwan. It contains a few, frequently investigated health status informations of nursing home residents, such as prevalent rate of falling, pressure ulcers rate, prevalent rate of body restrain, urinary tract infection rate, body weight losing rate. The study was to use desciptive analysis, Chi-square test, and logistic analysis were use to examine the relationships among nursing care quality indicators, facilities’ attributes (size and ownship), residents’ attributes (demographic variables, functional status). The finding was listed below: (1) the prevalent rate of falling was 3.8%, threshold value (25-90 percentile) was 0-16.9%. There are six statistically significant predictive factors, such as hospital-based type nursing home, size of facility 50-100 bed, length of admission less one year, over 3 diagnosis diseases, moderate/high dependency of ADL, and taking psychiatric medicine. (2) the prevalent rate of body restrain was 19.4%, threshold value (25-90 percentile) was 8-30.3%. Over 100 beds, male, more dependant of ADL, and cognitive impairement were statistically significant predictive factors. (3) the prevalent rate of weight loss was 10.1%, threshold value (25-90 percentile) was 5.3-22.2%. Solo type nursing home, small size, unmarried or other non-married status, moderate/high dependency of ADL, and using supportive piping system were statistically significant predictive factors. (4) pressure ulcers rate was 11.6%, threshold value (25-90 percentile) was 0.4-32.6%. Male, 75~84 years old, length of admission over one year, over 3 diagnosis diseases, moderate/high dependency of ADL, and remained urine catheter were statistically significant predictive factors. (5) the prevalent rate of urinary tract infection was 7.3%, threshold value (25-90 percentile) was 0-17%. There were 5 statistically significant predictive factors included widow or separation, over 3 diagnosis diseases, using supportive piping system, urine catheter, and taking psychiatric medicine. All threshold of quality indicators were higher than MDS’s suggestion upper limit. In additions, bedsore rate was positive correlated with body weight loss, UTI in all facilities. In view of the above, we suggest : (1) in health care policy decision making side, the government should reference MDS, conclude and make nursing home use standardized resident assessment tool as soon as possible as well as constructs national wide long-term care dataset, binding quality management system. Besides, examines the resident’s body restrain and medication standard, principles, protocols, and guidelines, setups accreditation mechanisam, and integrates long-term care human resources. (2) in practical management side, case managers should efficiently allocate and modify resources according with resident’s health and functional status, and continuing monitor, and follow-up each quality indicator of care. In additions, according with predictive factors of quality care, care providers should draft out effective protection care strategies and promote quality improvement projects following the care provider team’s anticipated value of quality inidicators. Finally, we suggest the longitudinal data should be collected for exploring the trend of care quality, focus on structure and outcome based indicators and relatively impacting on quality of care refactors, and how to distinguish with the high or low risk groups and referencing threshold in future researches.
Bazarganigilani, Mahdi. "Association of Hospital Workload Indicators with Adverse Events: A Retrospective Analysis of Hospital Episode Data." Thesis, 2017. https://vuir.vu.edu.au/32616/.
Full textElliott, David B. "The impact factor: a useful indicator of journal quality or fatally flawed?" 2014. http://hdl.handle.net/10454/10451.
Full textMolefi, Zachariah Modise. "Exploring the understanding of routinely collected data by the health practitioners in a primary health care setting." Diss., 2014. http://hdl.handle.net/10500/18841.
Full textHealth Studies
Chuang, Yen-Hsun, and 莊硯勛. "Application of Big Data Analysis in Environmental Planning and Management – Indicator Construction, Air Quality Monitoring and Groundwater Quality Analysis." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/dt9eg7.
Full text東海大學
環境科學與工程學系
107
Due to the rapid development of industry and economy, natural environment was damaged and contaminated and it is not easy for local environmental agencies to find a corresponding environmental strategy. Nowadays, the big data era is already here, how to utilize big data analysis to realize environmental issue as well as establishing strategy or system. To obtain the aim of environmental sustainability planning and management, this study establish sustainable system indicators, air quality monitoring and underground water analysis by big data analysis. Firstly, this study establish sustainable indicators system to explore the conflict among society, environment and economy in coastal area by DPSIR and Analytic Network Process and provide strategies coping with conflict. Secondly, exploring area highly occurring pollution emission in river barren utilize Internet of Things technology and pollution source tracking technology. Thirdly, exploring the relation between environmental parameters and pollutant level take advantage of principal component analysis, cluster analysis and redundancy analysis. The results show that river and habitat protection, pollution control, ecotourism and mitigation actions of community sustainability policies are critical indicators which is effective for sustainable indicators system. Plus, it is providing rapidly that location highly occurring pollution emission in river barren to local environmental agency which conduct management strategies utilize on time portable environmental monitoring device and cloud computing system calculating pollution source contribution. Most of the environment in coastal industrial areas has been salinized, and the ORP, groundwater level and conductivity of hydrogeochemical characteristics have a critical impact on the formation of local groundwater pollutants. All of all, The integrated application of big data analysis methods effectively realize the situation of the local environment and establish a corresponding environmental response strategy.
Oyerinde, Oyeyinka Dantala. "Creating public value in information and communication technology: a learning analytics approach." Thesis, 2019. http://hdl.handle.net/10500/26446.
Full textSchool of Computing
Ph.D. (Information Systems)
Reimer, Nila B. "Things that matter to residents in nursing homes and the nursing care implications." Thesis, 2014. http://hdl.handle.net/1805/6054.
Full textA move toward care of residents in nursing homes where they are respected and heard is finally emerging. Common strategies used in nursing homes to improve quality of care for residents are integration of person-centered care and assessing care using satisfaction surveys. Although approaches of integrating person-centered care and satisfaction surveys have been valuable in improving nursing home quality, strategies of care that include things that matter from residents’ perspectives while living in nursing homes need investigation. The purpose of this qualitative descriptive study was to describe things that residents age 65 and older state matter to them while living in the long-term care sections of nursing homes. A qualitative mode of inquiry using purposeful sampling led to a natural unfolding of data that revealed things that mattered to residents. Content analysis was used to reduce the data in a manner that kept the data close to the context yet moved the data toward new ideas about including things that mattered to residents in nursing care. The findings revealed residents’ positive and negative experiences and addressed the question: How can nurses manage residents’ positive and negative aspects of care in nursing homes? This study substantiated the importance of developing nursing care strategies derived from residents’ descriptions of care. Finding ways to promote nurses’ investment in attitudes about a person-centered care philosophy is essential for successful person-centered care implementation. Enhancing nurses’ knowledge, skills, and attitudes with an investment in person centeredness will be more likely to put nurses in a position to role-model care that is person-centered from residents’ perspectives.
Dufour, Émilie. "Mesure et validation d'indicateurs de performance des services infirmiers en première ligne : utilisation d'un cas traceur en soins de plaies." Thèse, 2017. http://hdl.handle.net/1866/19450.
Full textBetter use of nursing resources is a promising avenue for improving the performance of primary care services. Measuring the performance of nursing services is a central component in improving their organization and the quality of care delivered in this sector. The aim of this study was to measure and validate primary care nursing performance indicators from a tracer case in wound care and to assess the reliability of clinical-administrative data used to measure indicators from clinical records. This study adopted a correlational longitudinal design. Data were collected over a one-year period in a Local community services centre (CLSC) using clinical-administrative data contained in the I-CLSC electronic database. The episode of care was the unit of analysis. Eight indicators were measured, including five process indicators: 1) nursing follow-up; 2) relational continuity; 3) teaching; 4) initial assessment; and 5) consultation with a specialized nurse, and three outcome indicators: 1) frequency; 2) duration; and 3) intensity. Measurement and validation objectives were performed using a sample of 482 episodes of wound care lasting more than seven days. The reliability study was based on a sub-sample of 107 episodes. Descriptive and correlational analyzes were performed. Validation results demonstrated very strong associations between nursing follow-up and continuity indicators and the three outcome indicators. Reliability results demonstrated a high concordance between clinical records and clinical-administrative data for six of the eight indicators. In conclusion, valid and relevant process indicators in primary care nursing can be measured on a regular basis by managers using reliable and easily accessible clinical-administrative data.