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

Bioinformatics, genomics, tools and databases (33) Artificial Intelligence in Diabetes Care and Prevention (55) Diabetes Prevention (121) Decision Support for Health Professionals (1564) Machine Learning (2123)

Published on in Vol 6 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/70621, first published .
Optimizing Feature Selection and Machine Learning Algorithms for Early Detection of Prediabetes Risk: Comparative Study

Optimizing Feature Selection and Machine Learning Algorithms for Early Detection of Prediabetes Risk: Comparative Study

Optimizing Feature Selection and Machine Learning Algorithms for Early Detection of Prediabetes Risk: Comparative Study

Authors of this article:

Mahmoud B Almadhoun1 Author Orcid Image ;   MA Burhanuddin1 Author Orcid Image
Article Authors Cited by (1) Tweetations Metrics

Journals

  1. Guerrero-Flores M, Maeda-Gutiérrez V, Galván-Tejada C, Galván-Tejada J, Cruz M, Flores-Chaires L, Trejo-Vázquez K, Magallanes-Quintanar R, Saldívar J. Non-Glycemic Clinical Data for Type 2 Diabetes Detection in Mexican Adults: A Comparative Analysis of Atherogenic Indices, Statistical Transformations, and Machine Learning Algorithms. Diagnostics 2025;16(1):53 View