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Comparison of Predictive Models for the Early Diagnosis of Diabetes

OBJECTIVES: This study develops neural network models to improve the prediction of diabetes using clinical and lifestyle characteristics. Prediction models were developed using a combination of approaches and concepts. METHODS: We used memetic algorithms to update weights and to improve prediction a...

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Detalles Bibliográficos
Autores principales:	Jahani, Meysam, Mahdavi, Mahdi
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Korean Society of Medical Informatics 2016
Materias:	Original Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4871851/ https://www.ncbi.nlm.nih.gov/pubmed/27200219 http://dx.doi.org/10.4258/hir.2016.22.2.95

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