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

Decision Support for Health Professionals (2289) Clinical Informatics (2340) Clinical Information and Decision Making (3813) Emerging Technologies for Rehabilitation (519) Orthopedics (152) Machine Learning (3274) Podiatry (27)

Published on in Vol 14 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/92831, first published .
Doctor examines patient's foot in a medical setting

A Hierarchical Machine Learning–Based Framework for Clinical Decision Support in Foot Orthosis Prescription: Algorithm Development and Validation Study

A Hierarchical Machine Learning–Based Framework for Clinical Decision Support in Foot Orthosis Prescription: Algorithm Development and Validation Study

Authors of this article:

Ji-Yong Jung1 Author Orcid Image ;   Wooyeol Yang2 Author Orcid Image ;   Jung-Ja Kim1, 3 Author Orcid Image
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Ji-Yong Jung   1 * , PhD ;   Wooyeol Yang   2 * , MEng ;   Jung-Ja Kim   1, 3 , PhD

1 Division of Biomedical Engineering, College of Engineering, Jeonbuk National University, Jeonju, Jeonbuk-do, Republic of Korea

2 Cyber Warfare Technology Research Center, Cyber Security Research Division, Electronics and Telecommunications Research Institute, Daejeon, Republic of Korea

3 Research Center of Healthcare & Welfare Instrument for the Aged, Jeonbuk National University, Jeonju, Jeonbuk-do, Republic of Korea

*these authors contributed equally

Corresponding Author:

  • Jung-Ja Kim, PhD
  • Division of Biomedical Engineering
  • College of Engineering, Jeonbuk National University
  • 567 Baekje-daero, Deokjin-gu
  • Jeonju, Jeonbuk-do 54896
  • Republic of Korea
  • Phone: 82 63-270-4063
  • Fax: 82 63-270-2247
  • Email: jungjakim@jbnu.ac.kr