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

AI in Older Adult Care (40) Clinical Information and Decision Making (1915) New Methods (1134) mHealth for Data Collection and Research (1196) Machine Learning (2076) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1732) Computer-Aided Diagnosis (251) Cognitive and Neurorehabilitation (349)

Published on in Vol 8 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/65629, first published .
Model-Based Feature Extraction and Classification for Parkinson Disease Screening Using Gait Analysis: Development and Validation Study

Model-Based Feature Extraction and Classification for Parkinson Disease Screening Using Gait Analysis: Development and Validation Study

Model-Based Feature Extraction and Classification for Parkinson Disease Screening Using Gait Analysis: Development and Validation Study

Authors of this article:

Ming De Lim1 Author Orcid Image ;   Tee Connie1 Author Orcid Image ;   Michael Kah Ong Goh1 Author Orcid Image ;   Nor ‘Izzati Saedon2 Author Orcid Image
Article Authors Cited by (3) Tweetations Metrics

Journals

  1. Osness E, Isley S, Bertrand J, Dennett L, Bates J, Van Decker N, Stanhope A, Omkar A, Dolgoy N, Ezeugwu V, Tandon P. Markerless Motion Capture Parameters Associated with Fall Risk or Frailty: A Scoping Review. Sensors 2025;25(18):5741 View
  2. Ruthiraphong P, Srisilpa K, Ratanasutiranont C. Ankle Bracelet Laser as a Novel Portable Device to Improve Walking in Patients With Parkinsonism: Randomized Crossover Controlled Trial. JMIR Rehabilitation and Assistive Technologies 2025;12:e70209 View
  3. di Biase L, Pecoraro P, Bugamelli F. AI Video Analysis in Parkinson’s Disease: A Systematic Review of the Most Accurate Computer Vision Tools for Diagnosis, Symptom Monitoring, and Therapy Management. Sensors 2025;25(20):6373 View