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

Formative Evaluation of Digital Health Interventions (3606) Tools, Programs and Algorithms (428) mHealth for Data Collection and Research (1293) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1859) Secondary Use of Clinical Data for Research and Surveillance (508) Machine Learning (2323) Immunology, Allergy, Rheumatology (163) Development and Evaluation of Research Methods, Instruments and Tools (858)

Published on in Vol 8 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/50679, first published .
Close-up of man's hands holding a smartphone, with a charging cable attached.

Classifying Self-Reported Rheumatoid Arthritis Flares Using Daily Patient-Generated Data From a Smartphone App: Exploratory Analysis Applying Machine Learning Approaches

Classifying Self-Reported Rheumatoid Arthritis Flares Using Daily Patient-Generated Data From a Smartphone App: Exploratory Analysis Applying Machine Learning Approaches

Authors of this article:

Julie Gandrup1 Author Orcid Image ;   David A Selby1, 2 Author Orcid Image ;   William G Dixon1, 3 Author Orcid Image
Article Authors Cited by (4) Tweetations (4) Metrics

Journals

  1. Al Zo’ubi M. Review of 2024 publications on the applications of artificial intelligence in rheumatology. Clinical Rheumatology 2025;44(4):1427 View
  2. Bilgin E. Current application, possibilities, and challenges of artificial intelligence in the management of rheumatoid arthritis, axial spondyloarthritis, and psoriatic arthritis. Therapeutic Advances in Musculoskeletal Disease 2025;17 View
  3. Hochstenbach L, Verbeek J, Brokken-Peters M, van den Dungen P, Knops A, Spreeuwenberg M, Vonkeman H, van Tubergen A. Evaluation of a web-based self-monitoring application (MyRA) to empower people with rheumatoid arthritis in daily life. Rheumatology 2026;65(2) View
  4. Zhang K, Schatman M, Hascalovici J. Remote Therapeutic Monitoring in Musculoskeletal Pain Medicine: A Systematic Review and Comparison with Remote Physiologic Monitoring. Journal of Pain Research 2026;Volume 19:1 View
  5. Szymczyk M, Pałubska J, Muller O, Szot A, Szydełko D, Rosa K, Słoma A, Danielczyk D, Czyżewski W, Malatyńska N. ARTIFICIAL INTELLIGENCE IN REMOTE MONITORING OF RHEUMATOID ARTHRITIS: DIGITAL BIOMARKERS, PATIENT ENGAGEMENT, AND BARRIERS TO IMPLEMENTATION. International Journal of Innovative Technologies in Social Science 2026;4(1(49)) View