Design of a geospatial model applied to Health management

Detalhes bibliográficos
Autor(a) principal: Dallagassa,Marcelo Rosano
Data de Publicação: 2019
Outros Autores: Iachecen,Franciele, Carvalho,Deborah Ribeiro, Ioshii,Sergio Ossamu
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Revista Brasileira de Enfermagem (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0034-71672019000200420
Resumo: ABSTRACT Objective: To identify geographically the beneficiaries categorized as prone to Type 2 Diabetes Mellitus, using the recognition of patterns in a database of a health plan operator, through data mining. Method: The following steps were developed: the initial step, the information survey. Development, construction of the process of extraction, transformation, and loading of the database. Deployment, presentation of the geographical information through a georeferencing tool. Results: As a result, the mapping of Paraná according to its health care network and the concentration of Type 2 Diabetes Mellitus is presented, enabling the identification of cause-and-effect relationships. Conclusion: It is concluded that the analysis of georeferenced information, linked to health information obtained through the data mining technique, can be an excellent tool for the health management of a health plan operator, contributing to the decision-making process in Health.
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spelling Design of a geospatial model applied to Health managementHealth CareData MiningGeographic MappingSupplementary HealthChronic DiseaseABSTRACT Objective: To identify geographically the beneficiaries categorized as prone to Type 2 Diabetes Mellitus, using the recognition of patterns in a database of a health plan operator, through data mining. Method: The following steps were developed: the initial step, the information survey. Development, construction of the process of extraction, transformation, and loading of the database. Deployment, presentation of the geographical information through a georeferencing tool. Results: As a result, the mapping of Paraná according to its health care network and the concentration of Type 2 Diabetes Mellitus is presented, enabling the identification of cause-and-effect relationships. Conclusion: It is concluded that the analysis of georeferenced information, linked to health information obtained through the data mining technique, can be an excellent tool for the health management of a health plan operator, contributing to the decision-making process in Health.Associação Brasileira de Enfermagem2019-04-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0034-71672019000200420Revista Brasileira de Enfermagem v.72 n.2 2019reponame:Revista Brasileira de Enfermagem (Online)instname:Associação Brasileira de Enfermagem (ABEN)instacron:ABEN10.1590/0034-7167-2018-0589info:eu-repo/semantics/openAccessDallagassa,Marcelo RosanoIachecen,FrancieleCarvalho,Deborah RibeiroIoshii,Sergio Ossamueng2019-08-15T00:00:00Zoai:scielo:S0034-71672019000200420Revistahttp://www.scielo.br/rebenhttps://old.scielo.br/oai/scielo-oai.phpreben@abennacional.org.br||telma.garcia@abennacional.org.br|| editorreben@abennacional.org.br1984-04460034-7167opendoar:2019-08-15T00:00Revista Brasileira de Enfermagem (Online) - Associação Brasileira de Enfermagem (ABEN)false
dc.title.none.fl_str_mv Design of a geospatial model applied to Health management
title Design of a geospatial model applied to Health management
spellingShingle Design of a geospatial model applied to Health management
Dallagassa,Marcelo Rosano
Health Care
Data Mining
Geographic Mapping
Supplementary Health
Chronic Disease
title_short Design of a geospatial model applied to Health management
title_full Design of a geospatial model applied to Health management
title_fullStr Design of a geospatial model applied to Health management
title_full_unstemmed Design of a geospatial model applied to Health management
title_sort Design of a geospatial model applied to Health management
author Dallagassa,Marcelo Rosano
author_facet Dallagassa,Marcelo Rosano
Iachecen,Franciele
Carvalho,Deborah Ribeiro
Ioshii,Sergio Ossamu
author_role author
author2 Iachecen,Franciele
Carvalho,Deborah Ribeiro
Ioshii,Sergio Ossamu
author2_role author
author
author
dc.contributor.author.fl_str_mv Dallagassa,Marcelo Rosano
Iachecen,Franciele
Carvalho,Deborah Ribeiro
Ioshii,Sergio Ossamu
dc.subject.por.fl_str_mv Health Care
Data Mining
Geographic Mapping
Supplementary Health
Chronic Disease
topic Health Care
Data Mining
Geographic Mapping
Supplementary Health
Chronic Disease
description ABSTRACT Objective: To identify geographically the beneficiaries categorized as prone to Type 2 Diabetes Mellitus, using the recognition of patterns in a database of a health plan operator, through data mining. Method: The following steps were developed: the initial step, the information survey. Development, construction of the process of extraction, transformation, and loading of the database. Deployment, presentation of the geographical information through a georeferencing tool. Results: As a result, the mapping of Paraná according to its health care network and the concentration of Type 2 Diabetes Mellitus is presented, enabling the identification of cause-and-effect relationships. Conclusion: It is concluded that the analysis of georeferenced information, linked to health information obtained through the data mining technique, can be an excellent tool for the health management of a health plan operator, contributing to the decision-making process in Health.
publishDate 2019
dc.date.none.fl_str_mv 2019-04-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0034-71672019000200420
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0034-71672019000200420
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/0034-7167-2018-0589
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Associação Brasileira de Enfermagem
publisher.none.fl_str_mv Associação Brasileira de Enfermagem
dc.source.none.fl_str_mv Revista Brasileira de Enfermagem v.72 n.2 2019
reponame:Revista Brasileira de Enfermagem (Online)
instname:Associação Brasileira de Enfermagem (ABEN)
instacron:ABEN
instname_str Associação Brasileira de Enfermagem (ABEN)
instacron_str ABEN
institution ABEN
reponame_str Revista Brasileira de Enfermagem (Online)
collection Revista Brasileira de Enfermagem (Online)
repository.name.fl_str_mv Revista Brasileira de Enfermagem (Online) - Associação Brasileira de Enfermagem (ABEN)
repository.mail.fl_str_mv reben@abennacional.org.br||telma.garcia@abennacional.org.br|| editorreben@abennacional.org.br
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