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

Machine Learning (2148) Clinical Informatics (1370) Chronic Foot Ulcer and Wounds (21) Artificial Intelligence in Diabetes Care and Prevention (56) Applications of AI (308)

Published on in Vol 13 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/71994, first published .
Evaluation of Machine Learning Model Performance in Diabetic Foot Ulcer: Retrospective Cohort Study

Evaluation of Machine Learning Model Performance in Diabetic Foot Ulcer: Retrospective Cohort Study

Evaluation of Machine Learning Model Performance in Diabetic Foot Ulcer: Retrospective Cohort Study

Authors of this article:

Veerle Y van Velze1, 2 Author Orcid Image ;   Hendrico L Burger3 Author Orcid Image ;   Tim J van der Steenhoven1, 4 Author Orcid Image ;   Hani Al-Ers3 Author Orcid Image ;   Lauren N Goncalves1 Author Orcid Image ;   Daniël Eefting1, 4, 5 Author Orcid Image ;   Willem-Jan J de Jong1, 4 Author Orcid Image ;   Harm J Smeets1, 4 Author Orcid Image ;   Janna C Specken Welleweerd1, 4 Author Orcid Image ;   Joost R van der Vorst4, 5 Author Orcid Image ;   Sandy Uchtmann1 Author Orcid Image ;   Robert Rissmann2, 6, 7 Author Orcid Image ;   Jaap F Hamming4, 5 Author Orcid Image ;   Lampros Stergioulas3 Author Orcid Image ;   Koen EA van der Bogt1, 4, 5 Author Orcid Image
Article Authors Cited by (1) Tweetations Metrics

Journals

  1. Zhang H, Fan W, Li P, Chen X, Yin S. Predicting the diabetic foot in patients with type 2 diabetes mellitus based on machine learning. BioMedical Engineering OnLine 2026 View