dc.contributorParreira, Fábio José
dc.contributorSilveira, Sidnei Renato
dc.creatorVieira, João Paulo
dc.date.accessioned2018-04-03T21:40:31Z
dc.date.available2018-04-03T21:40:31Z
dc.date.created2018-04-03T21:40:31Z
dc.date.issued2015-12-09
dc.identifierhttp://repositorio.ufsm.br/handle/1/12838
dc.description.abstractThis paper presents the development of a system whose main function is to assist health professionals in the diagnosis of diabetes, using the learning ability of Artificial Neural Networks. Training of the RNAs was done by Pima Indians database. Neural networks was trained differently where one will be trained to search for normal cases and the second to diagnose diabetes cases where further samples will be tested.
dc.publisherUniversidade Federal de Santa Maria
dc.publisherBrasil
dc.publisherUFSM
dc.publisherUFSM Frederico Westphalen
dc.rightshttp://creativecommons.org/licenses/by-nc-sa/4.0/
dc.rightsAcesso Aberto
dc.subjectRedes neurais artificiais
dc.subjectDiabetes
dc.subjectBase de dados Pima Indians
dc.subjectArtificial neural networks
dc.subjectPima Indians database
dc.titleDesenvolvimento de um sistema para auxílio ao diagnóstico de diabetes empregando redes neurais
dc.typeTrabalho de Conclusão de Curso de Graduação


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