Cargando…
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...
Autores principales: | , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Korean Society of Epidemiology
2018
|
Materias: | |
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 |