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

Viewpoints and Perspectives (619) mHealth for Data Collection and Research (1196) mHealth for Diagnosis (81) Computer-Aided Diagnosis (251) Diagnostic Tools in Mental Health (326) Neurology and Neurosciences (286) Wearable Devices and Sensors (1133)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/63105, first published .
Modernizing the Staging of Parkinson Disease Using Digital Health Technology

Modernizing the Staging of Parkinson Disease Using Digital Health Technology

Modernizing the Staging of Parkinson Disease Using Digital Health Technology

Authors of this article:

John Michael Templeton1, 2 Author Orcid Image ;   Christian Poellabauer3 Author Orcid Image ;   Sandra Schneider4 Author Orcid Image ;   Morteza Rahimi3 Author Orcid Image ;   Taofeek Braimoh1 Author Orcid Image ;   Fhaheem Tadamarry1 Author Orcid Image ;   Jason Margolesky5 Author Orcid Image ;   Shanna Burke6 Author Orcid Image ;   Zeina Al Masry7 Author Orcid Image
Article Authors Cited by (2) Tweetations Metrics

Journals

  1. Shokrpour S, MoghadamFarid A, Bazzaz Abkenar S, Haghi Kashani M, Akbari M, Sarvizadeh M. Machine learning for Parkinson’s disease: a comprehensive review of datasets, algorithms, and challenges. npj Parkinson's Disease 2025;11(1) View
  2. Gao W, Li D, Wu M. Beyond comorbidity counts: multidimensional extensions to cardiometabolic multimorbidity and perioperative neurocognitive. International Journal of Surgery 2025;111(10):7481 View