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

Longitudinal and Cohort Studies in Public Health (309) Machine Learning (1465) Diabetes Prevention (83) Electronic/Mobile Data Capture, Internet-based Survey & Research Methodology (832)

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
Article Authors Cited by (8) Tweetations (3) Metrics

Journals

  1. Moradifar P, Amiri M. Prediction of hypercholesterolemia using machine learning techniques. Journal of Diabetes & Metabolic Disorders 2022;22(1):255 View
  2. Avizohar E, Shehory O. Predicting Metabolic Syndrome Using Machine Learning – Analysis of Commonly Used Indices. SSRN Electronic Journal 2022 View
  3. Li S, Zhang T, Yang H, Chang Q, Zhao Y, Chen L, Zhao L, Xia Y. Metabolic syndrome, genetic susceptibility, and risk of chronic obstructive pulmonary disease: The UK Biobank Study. Diabetes, Obesity and Metabolism 2024;26(2):482 View
  4. Avizohar E, Shehory O. Predicting metabolic syndrome using machine learning – Analysis of commonly used indices. Health Informatics Journal 2023;29(4) View
  5. Trigka M, Dritsas E. Predicting the Occurrence of Metabolic Syndrome Using Machine Learning Models. Computation 2023;11(9):170 View
  6. Modi K, Singh I, Kumar Y. A Comprehensive Analysis of Artificial Intelligence Techniques for the Prediction and Prognosis of Lifestyle Diseases. Archives of Computational Methods in Engineering 2023;30(8):4733 View
  7. Kaveshnikov V, Bragin D, Vaizov V, Kaveshnikov A, Kuzmichkina M, Trubacheva I. POSSIBILITIES OF APPLYING MACHINE LEARNING TECHNOLOGIES IN THE SPHERE OF PRIMARY PREVENTION OF CARDIOVASCULAR DISEASES. Complex Issues of Cardiovascular Diseases 2023;12(3):109 View
  8. Hosseini-Esfahani F, Daei S, Ildarabadi A, Koochakpoor G, Mirmiran P, Azizi F. Associations between Global Diet Quality Score and Risk of Metabolic Syndrome and Its Components: Tehran Lipid and Glucose Study. Journal of Obesity & Metabolic Syndrome 2024;33(3):240 View