Comparing Three Data Mining Algorithms for Identifying the Associated Risk Factors of Type 2 Diabetes

BACKGROUND: Increasing the prevalence of type 2 diabetes has given rise to a global health burden and a concern among health service providers and health administrators. The current study aimed at developing and comparing some statistical models to identify the risk factors associated with type 2 di...

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Detalles Bibliográficos
Autores principales: Esmaeily, Habibollah, Tayefi, Maryam, Ghayour-Mobarhan, Majid, Amirabadizadeh, Alireza
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Pasteur Institute 2018
Materias:
Full Length
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6058191/
https://www.ncbi.nlm.nih.gov/pubmed/29374085
http://dx.doi.org/10.29252/ibj.22.5.303

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6058191/
https://www.ncbi.nlm.nih.gov/pubmed/29374085
http://dx.doi.org/10.29252/ibj.22.5.303

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