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© 2019. This work is published under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.

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.

Details

Title
Design of a geospatial model applied to Health management
Author
Dallagassa, Marcelo Rosano 1 ; Iachecen, Franciele 2 ; Carvalho, Deborah Ribeiro 1 ; Ioshii, Sergio Ossamu 1 

 Pontificia Universidade Católica do Paraná. Curitiba-PR, Brasil 
 Unimed Federaçao do Estado do Paraná, Core of Health Intelligence. Curitiba-PR, Brasil 
Pages
420-426
Section
ORIGINAL ARTICLE
Publication year
2019
Publication date
Mar/Apr 2019
Publisher
Associação Brasileira de Enfermagem
ISSN
00347167
e-ISSN
19840446
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2228627012
Copyright
© 2019. This work is published under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.