Geohealth. A Geographic Information System for clinical research

Detalhes bibliográficos
Autor(a) principal: Gil, Víctor González
Data de Publicação: 2021
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/129611
Resumo: Project Work presented as the partial requirement for obtaining a Master's degree in Data Science and Advanced Analytics, specialization in Data Science
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spelling Geohealth. A Geographic Information System for clinical researchGISAsthmaPollutionClusteringSegmentationAir QualityProject Work presented as the partial requirement for obtaining a Master's degree in Data Science and Advanced Analytics, specialization in Data ScienceThe objective of the project has been the development of a system for clinical, epidemiological, and translational research capable of associating environmental variables and geospatial information with clinical patient’s data. The system aims to empower clinical researchers with a system that helps improve the generation of more meaningful and applicable results that directly benefit human health. The system has integrated pollution, pollen, and meteorological data as well as demographic information of the region of Andalusia, Spain. The heterogeneous data comes from different sources such as the Meteorological Spanish Agency (AEMET), the Spanish Ministry for the Ecological Transition, and the Demographic challenge or the National Institute of Statistics (INE). The project includes three main deliverables: the development of a system for clinical, epidemiological, and translational research, a geodemographic segmentation, and an air quality characterization. The system, called “Geohealth”, includes a module for the observation of all the data on a single map. This module allows researchers to observe and understand the geographical distribution of patients, the demographic information of the census sections, as well as the time series of the meteorological, pollution, and pollen data. In addition, a second module called “Segmentations”, includes the results of the first study developed for this project which aimed at discovering and understanding which are the characteristics of the different clusters of census sections among the province of Seville (Spain) through the development of two geodemographic segmentations. A second study, based on the pollution times series data, has been developed and integrated into the system. The pollution time series have been processed and the different values, measured by the pollution stations, have been interpolated for the whole territory. Once each census section has assigned the values for each pollutant, they have been transformed into the Air Quality Health Index (AQHI) scale, developed by the Canadian government, which allows understanding the impact of the combination of the pollutant on health. The system has been evaluated in collaboration with the Allergology department of the Virgen Macarena Hospital, with a dataset of asthmatic patients that have attended emergency care due to an asthma attack during the years between 2014 and 2019.Bação, Fernando José Ferreira LucasMoreno-Conde, AlbertoRUNGil, Víctor González2021-12-22T17:07:12Z2021-12-032021-12-03T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/129611TID:202839273enginfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-03-11T05:08:42Zoai:run.unl.pt:10362/129611Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:46:35.493666Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Geohealth. A Geographic Information System for clinical research
title Geohealth. A Geographic Information System for clinical research
spellingShingle Geohealth. A Geographic Information System for clinical research
Gil, Víctor González
GIS
Asthma
Pollution
Clustering
Segmentation
Air Quality
title_short Geohealth. A Geographic Information System for clinical research
title_full Geohealth. A Geographic Information System for clinical research
title_fullStr Geohealth. A Geographic Information System for clinical research
title_full_unstemmed Geohealth. A Geographic Information System for clinical research
title_sort Geohealth. A Geographic Information System for clinical research
author Gil, Víctor González
author_facet Gil, Víctor González
author_role author
dc.contributor.none.fl_str_mv Bação, Fernando José Ferreira Lucas
Moreno-Conde, Alberto
RUN
dc.contributor.author.fl_str_mv Gil, Víctor González
dc.subject.por.fl_str_mv GIS
Asthma
Pollution
Clustering
Segmentation
Air Quality
topic GIS
Asthma
Pollution
Clustering
Segmentation
Air Quality
description Project Work presented as the partial requirement for obtaining a Master's degree in Data Science and Advanced Analytics, specialization in Data Science
publishDate 2021
dc.date.none.fl_str_mv 2021-12-22T17:07:12Z
2021-12-03
2021-12-03T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10362/129611
TID:202839273
url http://hdl.handle.net/10362/129611
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dc.language.iso.fl_str_mv eng
language eng
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instacron:RCAAP
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