Design of a geospatial model applied to Health management

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. D...

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Main Authors: Marcelo Rosano Dallagassa, Franciele Iachecen, Deborah Ribeiro Carvalho, Sergio Ossamu Ioshii
Format: Article
Language:English
Published: Associação Brasileira de Enfermagem 2019-04-01
Series:Revista Brasileira de Enfermagem
Subjects:
Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0034-71672019000200420&lng=en&tlng=en
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spelling doaj-02895ad66f3b427b99d1266d4f7fada52020-11-25T01:55:14ZengAssociação Brasileira de EnfermagemRevista Brasileira de Enfermagem1984-04462019-04-0172242042610.1590/0034-7167-2018-0589S0034-71672019000200420Design of a geospatial model applied to Health managementMarcelo Rosano DallagassaFranciele IachecenDeborah Ribeiro CarvalhoSergio Ossamu IoshiiABSTRACT 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.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0034-71672019000200420&lng=en&tlng=enAtención a la SaludMinería de DatosMapeo GeográficoSalud SuplementariaEnfermedades crónicas
collection DOAJ
language English
format Article
sources DOAJ
author Marcelo Rosano Dallagassa
Franciele Iachecen
Deborah Ribeiro Carvalho
Sergio Ossamu Ioshii
spellingShingle Marcelo Rosano Dallagassa
Franciele Iachecen
Deborah Ribeiro Carvalho
Sergio Ossamu Ioshii
Design of a geospatial model applied to Health management
Revista Brasileira de Enfermagem
Atención a la Salud
Minería de Datos
Mapeo Geográfico
Salud Suplementaria
Enfermedades crónicas
author_facet Marcelo Rosano Dallagassa
Franciele Iachecen
Deborah Ribeiro Carvalho
Sergio Ossamu Ioshii
author_sort Marcelo Rosano Dallagassa
title Design of a geospatial model applied to Health management
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
publisher Associação Brasileira de Enfermagem
series Revista Brasileira de Enfermagem
issn 1984-0446
publishDate 2019-04-01
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.
topic Atención a la Salud
Minería de Datos
Mapeo Geográfico
Salud Suplementaria
Enfermedades crónicas
url http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0034-71672019000200420&lng=en&tlng=en
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