Using Machine Learning Techniques to Predict Factors Contributing to the Incidence of Metabolic Syndrome in Tehran: Cohort Study

BACKGROUND: Metabolic syndrome (MetS), a major contributor to cardiovascular disease and diabetes, is considered to be among the most common public health problems worldwide. OBJECTIVE: We aimed to identify and rank the most important nutritional and nonnutritional factors contributing to the develo...

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Detalles Bibliográficos
Autores principales: Hosseini-Esfahani, Firoozeh, Alafchi, Behnaz, Cheraghi, Zahra, Doosti-Irani, Amin, Mirmiran, Parvin, Khalili, Davood, Azizi, Fereidoun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2021
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8446845/
https://www.ncbi.nlm.nih.gov/pubmed/34473070
http://dx.doi.org/10.2196/27304

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8446845/
https://www.ncbi.nlm.nih.gov/pubmed/34473070
http://dx.doi.org/10.2196/27304

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