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

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

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). Method A dataset derived from the Mashhad Stroke and heart atherosclerotic disorders (MASHAD) study comprising 9354 s...

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Bibliographic Details
Main Authors: Nafiseh Hosseini, Hamid Tanzadehpanah, Amin Mansoori, Mostafa Sabzekar, Gordon A. Ferns, Habibollah Esmaily, Majid Ghayour-Mobarhan
Format: Article
Language:English
Published: BMC 2025-01-01
Series:BMC Medical Informatics and Decision Making
Online Access:https://doi.org/10.1186/s12911-025-02887-y
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