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

Reviews in Medical Informatics (96) Neurotech Innovations, Diagnostic Tools and Techniques (41) Cognitive and Neurorehabilitation (290) Clinical Information and Decision Making (1573) Digital Health Reviews (1454)

Published on in Vol 12 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/50117, first published .
Machine Learning Models for Parkinson Disease: Systematic Review

Machine Learning Models for Parkinson Disease: Systematic Review

Machine Learning Models for Parkinson Disease: Systematic Review

Authors of this article:

Thasina Tabashum1 Author Orcid Image ;   Robert Cooper Snyder1 Author Orcid Image ;   Megan K O'Brien2, 3 Author Orcid Image ;   Mark V Albert1, 4 Author Orcid Image
Article Authors Cited by (6) Tweetations (2) Metrics

Journals

  1. Nehmeh B, Rebehmed J, Nehmeh R, Taleb R, Akoury E. Unlocking therapeutic frontiers: harnessing artificial intelligence in drug discovery for neurodegenerative diseases. Drug Discovery Today 2024;29(12):104216 View
  2. Calderone A, Latella D, Bonanno M, Quartarone A, Mojdehdehbaher S, Celesti A, Calabrò R. Towards Transforming Neurorehabilitation: The Impact of Artificial Intelligence on Diagnosis and Treatment of Neurological Disorders. Biomedicines 2024;12(10):2415 View
  3. S.P. R, M. S, R. J. Streamlit-based Web Application for Parkinson's Detection using Machine Learning. Journal of Artificial Intelligence and Capsule Networks 2025;6(4):466 View
  4. Rissardo J, Caprara A. A Narrative Review on Biochemical Markers and Emerging Treatments in Prodromal Synucleinopathies. Clinics and Practice 2025;15(3):65 View