Uma abordagem baseada em redes neurais artificiais para diagnóstico de diabetes
Diabetes has great incidence worldwide and is responsible for the decrease in the quality of life of many people. It is known that previous diagnosis of this disease is very important, as it allows immediate care and risk prevention. The diagnosis and classification of diabetes are the subject of...
| Autor principal: | ARAÚJO, Lucas Fauro de |
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| Grau: | Trabalho de Conclusão de Curso - Graduação |
| Publicado em: |
UNIFAP – Universidade Federal do Amapá
2022
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| Assuntos: | |
| Acesso em linha: |
http://repositorio.unifap.br:80/jspui/handle/123456789/738 |
| Resumo: |
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Diabetes has great incidence worldwide and is responsible for the decrease in the quality
of life of many people. It is known that previous diagnosis of this disease is very
important, as it allows immediate care and risk prevention. The diagnosis and classification
of diabetes are the subject of discussions over several decades, and the diagnosis
is considered a complex task, due to the fact that the few existing methodologies are
based mostly on glycemic changes in the individual’s body. Therefore, the present work
proposes an approach based on artificial neural networks for the diagnosis of diabetes. |