Design of a geospatial model applied to Health management
| Autor: | Sérgio Ossamu Ioshii, Franciele Iachecen, Marcelo Rosano Dallagassa, Deborah Ribeiro Carvalho |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
Adult
Male Geospatial analysis Process management Databases Factual Computer science Process (engineering) Salud Suplementaria MEDLINE Geographic Mapping computer.software_genre Surveys and Questionnaires Health care Humans Data Mining Atención a la Salud Enfermedades crónicas Mapeo Geográfico General Nursing Aged Retrospective Studies Aged 80 and over lcsh:RT1-120 Health management system lcsh:Nursing business.industry Minería de Datos Middle Aged Health Care Identification (information) Diabetes Mellitus Type 2 Supplementary Health Software deployment Chronic Disease Female Nursing Care business computer Brazil |
| Zdroj: | Revista Brasileira de Enfermagem v.72 n.2 2019 Revista Brasileira de Enfermagem Associação Brasileira de Enfermagem (ABEN) instacron:ABEN Revista Brasileira de Enfermagem, Vol 72, Iss 2, Pp 420-426 (2019) |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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