A cohort study on the predictive capability of body composition for diabetes mellitus using machine learning.

Journal: Journal of diabetes and metabolic disorders
Published Date: Nov 27, 2023

Abstract

PURPOSE: We applied machine learning to study associations between regional body fat distribution and diabetes mellitus in a population of community adults in order to investigate the predictive capability. We retrospectively analyzed a subset of data from the published Fasa cohort study using individual standard classifiers as well as ensemble learning algorithms.

Authors

  • Mohammad Ali Nematollahi
    Department of Computer Sciences, Fasa University, Fasa, Iran.
  • Amir Askarinejad
    Student research committee, Shiraz University of Medical Science, Shiraz, Iran.
  • Arefeh Asadollahi
    Noncommunicable Diseases Research Center, Fasa University of Medical Sciences, Fasa, Iran.
  • Mehdi Bazrafshan
    Cardiovascular Research Center, Shiraz University of Medical Sciences, Shiraz, Zand St, PO Box: 71348-14336, Shiraz, Iran.
  • Shirin Sarejloo
    Cardiology research Fellow at Northern Health, Northern Hospital, Melbourne, VIC Australia.
  • Mana Moghadami
    Student research committee, Shiraz University of Medical Science, Shiraz, Iran.
  • Sarvin Sasannia
    School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran.
  • Mojtaba Farjam
    Noncommunicable Diseases Research Center, Fasa University of Medical Sciences, Fasa, Iran.
  • Reza Homayounfar
    National Nutrition and Food Technology Research Institute, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
  • Babak Pezeshki
    Noncommunicable Diseases Research Center, Fasa University of Medical Sciences, Fasa, Iran.
  • Mitra Amini
    Clinical Education Research Center, Shiraz University of Medical Sciences, Shiraz, Iran.
  • Mohamad Roshanzamir
    Department of Computer Engineering, Faculty of Engineering, Fasa University, Fasa, 74617-81189 Iran.
  • Roohallah Alizadehsani
    Institute for Intelligent Systems Research and Innovation (IISRI), Deakin University, Geelong, Australia.
  • Hanieh Bazrafshan
    Department of Neurology, Clinical Neurology Research Center, Shiraz University of Medical Sciences, Shiraz, Iran.
  • Hamed Bazrafshan Drissi
    Cardiovascular Research Center, Shiraz University of Medical Sciences, Shiraz, Zand St, PO Box: 71348-14336, Shiraz, Iran.
  • Ru-San Tan
    National Heart Centre Singapore, Singapore, Singapore.
  • U Rajendra Acharya
    School of Business (Information Systems), Faculty of Business, Education, Law & Arts, University of Southern Queensland, Darling Heights, Australia.
  • Mohammed Shariful Sheikh Islam
    Institute for Physical Activity and Nutrition, School of Exercise and Nutrition Sciences, Deakin University, Geelong, VIC Australia.

Keywords

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