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

Artificial Intelligence, Machine Learning, and Natural Language Processing for Public Health (157) Machine Learning (3160) Infectious Diseases (non-STD/STI) (1928) Image Recognition and AI in Dermatology (32)

Published on in Vol 18 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/84966, first published .
Healthcare worker in blue coat uses tablet in rural clinic with patients in background.

Automating Diagnosis of Skin Neglected Tropical Diseases via Patient Metadata through Machine Learning Model with Adaptive Balancing and Dual Cross-Validation: Retrospective Diagnostic Accuracy Study

Automating Diagnosis of Skin Neglected Tropical Diseases via Patient Metadata through Machine Learning Model with Adaptive Balancing and Dual Cross-Validation: Retrospective Diagnostic Accuracy Study

Authors of this article:

Yohannes Minyilu1 Author Orcid Image ;   Mohammed Abebe Yimer1 Author Orcid Image ;   Million Meshesha2 Author Orcid Image
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Yohannes Minyilu   1 , MSc ;   Mohammed Abebe Yimer   1 , PhD ;   Million Meshesha   2 , PhD

1 Faculty of Computing and Software Engineering, Arba Minch Institute of Technology, Arba Minch University, Arba Minch, Ethiopia

2 School of Information Science, College of Natural and Computational Sciences, Addis Ababa University, Addis Ababa, Ethiopia

Corresponding Author:

  • Yohannes Minyilu, MSc
  • Faculty of Computing and Software Engineering
  • Arba Minch Institute of Technology, Arba Minch University
  • P.O. Box 21
  • Arba Minch
  • Ethiopia
  • Phone: +251 911434681
  • Email: yohannes.minyilu@amu.edu.et