Using a robust model to detect the association between anthropometric factors and T2DM: machine learning approaches.

Journal: BMC medical informatics and decision making
PMID: 39891090

Abstract

BACKGROUND: The aim of this study was to evaluate the potential models to determine the most important anthropometric factors associated with type 2 diabetes mellitus (T2DM).

Authors

  • Nafiseh Hosseini
    Department of Medical Informatics, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran. Electronic address: Hoseinin951@mums.ac.ir.
  • Hamid Tanzadehpanah
    Antimicrobial Resistance Research Center, Mashhad University of Medical Sciences, Mashhad, Iran.
  • Amin Mansoori
    Department of Biostatistics, School of Health, Mashhad University of Medical Sciences, Mashhad, Iran.
  • Mostafa Sabzekar
    Department of Computer Engineering, Birjand University of Technology, Birjand, Iran.
  • Gordon A Ferns
    Brighton & Sussex Medical School, Division of Medical Education, Falmer, Brighton, Sussex BN1 9PH, UK.
  • Habibollah Esmaily
    Social Determinants of Health Research Center, Mashhad University of Medical Sciences, Mashhad 917791-8564, Iran.
  • Majid Ghayour-Mobarhan
    International UNESCO Center for Health Related Basic Sciences and Human Nutrition, Mashhad University of Medical Sciences, Mashhad, Iran.

Keywords

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