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

Development and Evaluation of Research Methods, Instruments and Tools (439) Patient-Reported Outcome Measures (PROMs) (275) Research Instruments, Questionnaires, and Tools (545) mHealth for Data Collection and Research (917) Artificial Intelligence (1216) Machine Learning (1401)

Published on in Vol 7 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/43107, first published .
Machine Learning Approaches to Classify Self-Reported Rheumatoid Arthritis Health Scores Using Activity Tracker Data: Longitudinal Observational Study

Machine Learning Approaches to Classify Self-Reported Rheumatoid Arthritis Health Scores Using Activity Tracker Data: Longitudinal Observational Study

Machine Learning Approaches to Classify Self-Reported Rheumatoid Arthritis Health Scores Using Activity Tracker Data: Longitudinal Observational Study

Authors of this article:

Kaushal Rao1 Author Orcid Image ;   William Speier1 Author Orcid Image ;   Yiwen Meng1 Author Orcid Image ;   Jinhan Wang1 Author Orcid Image ;   Nidhi Ramesh1 Author Orcid Image ;   Fenglong Xie2 Author Orcid Image ;   Yujie Su2 Author Orcid Image ;   W Benjamin Nowell3 Author Orcid Image ;   Jeffrey R Curtis2 Author Orcid Image ;   Corey Arnold1 Author Orcid Image
Article Authors Cited by (2) Tweetations (3) Metrics

Kaushal Rao   1 , BS ;   William Speier   1 , PhD ;   Yiwen Meng   1 , PhD ;   Jinhan Wang   1 , BS, MS ;   Nidhi Ramesh   1 ;   Fenglong Xie   2 , PhD ;   Yujie Su   2 , MS ;   W Benjamin Nowell   3 , MSW, PhD ;   Jeffrey R Curtis   2 , MPH, MS, MD ;   Corey Arnold   1 , PhD

1 Department of Radiological Sciences, University of California, Los Angeles, Los Angeles, CA, United States

2 Division of Clinical Immunology and Rheumatology, University of Alabama at Birmingham, Birmingham, AL, United States

3 Global Healthy Living Foundation, Upper Nyack, NY, United States

Corresponding Author:

  • Jeffrey R Curtis, MPH, MS, MD
  • Division of Clinical Immunology and Rheumatology
  • University of Alabama at Birmingham
  • 1825 University Blvd
  • Shelby 121H
  • Birmingham, AL, 35233
  • United States
  • Phone: 1 205-937-0585
  • Email: jcurtis@uab.edu