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

• Main Authors: Firoozeh Hosseini-Esfahani (Author), Behnaz Alafchi (Author), Zahra Cheraghi (Author), Amin Doosti-Irani (Author), Parvin Mirmiran (Author), Davood Khalili (Author), Fereidoun Azizi (Author)
• Format: Book
• Published: JMIR Publications, 2021-09-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

BackgroundMetabolic syndrome (MetS), a major contributor to cardiovascular disease and diabetes, is considered to be among the most common public health problems worldwide. ObjectiveWe aimed to identify and rank the most important nutritional and nonnutritional factors contributing to the developmen...