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

Development and Evaluation of Research Methods, Instruments and Tools (630) Patient-Reported Outcome Measures (PROMs) (324) Research Instruments, Questionnaires, and Tools (658) mHealth for Data Collection and Research (1077) Artificial Intelligence (1693) Machine Learning (1710)

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
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JMIR Formative Res: Machine Learning Approaches to Classify Self-Reported Rheumatoid Arthritis Health Scores Using… https://t.co/1iC6gN34pR

1:04 PM · Jun 26, 2023

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RT @jmirpub: JMIR Formative Res: Machine Learning Approaches to Classify Self-Reported Rheumatoid Arthritis Health Scores Using Activity Tr…

1:05 PM · Jun 26, 2023

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Kaushal Rao Kaushal Rao @kraogotthesauce

After two years, my research thesis from UCLA was officially published today! "Machine Learning Approaches to Class… https://t.co/WJht23rUeQ

3:53 PM · Jun 26, 2023

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