Application of an artificial neural network model for diagnosing type 2 diabetes mellitus and determining the relative importance of risk factors

OBJECTIVES: To identify the most important demographic risk factors for a diagnosis of type 2 diabetes mellitus (T2DM) using a neural network model. METHODS: This study was conducted on a sample of 234 individuals, in whom T2DM was diagnosed using hemoglobin A1c levels. A multilayer perceptron artif...

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Detalles Bibliográficos
Autores principales: Borzouei, Shiva, Soltanian, Ali Reza
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korean Society of Epidemiology 2018
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5968209/
https://www.ncbi.nlm.nih.gov/pubmed/29529860
http://dx.doi.org/10.4178/epih.e2018007

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5968209/
https://www.ncbi.nlm.nih.gov/pubmed/29529860
http://dx.doi.org/10.4178/epih.e2018007

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