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

Formative Evaluation of Digital Health Interventions (2226) mHealth for Data Collection and Research (917) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1317) Machine Learning (1400) Tools, Programs and Algorithms (245) Secondary Use of Clinical Data for Research and Surveillance (325) Development and Evaluation of Research Methods, Instruments and Tools (439) Immunology, Allergy, Rheumatology (79)

Published on in Vol 8 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/50679, first published .
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

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 Tweetations (6) Metrics

Julie Gandrup   1 , MD, PhD ;   David A Selby   1, 2 , PhD ;   William G Dixon   1, 3 , MRCP, PhD

1 Centre for Epidemiology Versus Arthritis, University of Manchester, Manchester, United Kingdom

2 Department of Computer Science, Technische Universität Kaiserslautern, Kaiserslautern, Germany

3 Department of Rheumatology, Northern Care Alliance NHS Foundation Trust, Salford, United Kingdom

Corresponding Author:

  • William G Dixon, MRCP, PhD
  • Centre for Epidemiology Versus Arthritis
  • University of Manchester
  • Oxford Rd
  • Stopford Building
  • Manchester, M13 9PT
  • United Kingdom
  • Phone: 44 1613066000
  • Email: will.dixon@manchester.ac.uk