This paper is in the following e-collection/theme issue:

Longitudinal and Cohort Studies in Public Health (316) Machine Learning (1501) Diabetes Prevention (86) Electronic/Mobile Data Capture, Internet-based Survey & Research Methodology (847)

Published on in Vol 7, No 9 (2021): September

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/27304, first published .
Using Machine Learning Techniques to Predict Factors Contributing to the Incidence of Metabolic Syndrome in Tehran: Cohort Study

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

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

Authors of this article:

Firoozeh Hosseini-Esfahani1 Author Orcid Image ;   Behnaz Alafchi2 Author Orcid Image ;   Zahra Cheraghi3, 4 Author Orcid Image ;   Amin Doosti-Irani4, 5 Author Orcid Image ;   Parvin Mirmiran1 Author Orcid Image ;   Davood Khalili6, 7 Author Orcid Image ;   Fereidoun Azizi6 Author Orcid Image
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