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Using Machine Learning Techniques to Predict Factors Contributing to the Incidence of Metabolic Syndrome in Tehran: Cohort Study.
Hosseini-Esfahani, Firoozeh; Alafchi, Behnaz; Cheraghi, Zahra; Doosti-Irani, Amin; Mirmiran, Parvin; Khalili, Davood; Azizi, Fereidoun.
  • Hosseini-Esfahani F; Department of Clinical Nutrition and Dietetics, Faculty of Nutrition Sciences and Food Technology, National Nutrition and Food Technology Research Institute, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
  • Alafchi B; Department of Biostatistics, School of Public Health, Hamadan University of Medical Sciences, Hamadan, Iran.
  • Cheraghi Z; Modeling of Noncommunicable Diseases Research Center, Hamadan University of Medical Sciences, Hamadan, Iran.
  • Doosti-Irani A; Department of Epidemiology, School of Public Health, Hamadan University of Medical Sciences, Hamadan, Iran.
  • Mirmiran P; Department of Epidemiology, School of Public Health, Hamadan University of Medical Sciences, Hamadan, Iran.
  • Khalili D; Health and Research Center for Health Sciences, Hamadan University of Medical Sciences, Hamadan, Iran.
  • Azizi F; Department of Clinical Nutrition and Dietetics, Faculty of Nutrition Sciences and Food Technology, National Nutrition and Food Technology Research Institute, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
JMIR Public Health Surveill ; 7(9): e27304, 2021 09 02.
Article en En | MEDLINE | ID: mdl-34473070
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Síndrome Metabólico Tipo de estudio: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Adult / Aged / Female / Humans / Male País como asunto: Asia Idioma: En Año: 2021 Tipo del documento: Article
Texto completo
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Síndrome Metabólico Tipo de estudio: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Adult / Aged / Female / Humans / Male País como asunto: Asia Idioma: En Año: 2021 Tipo del documento: Article