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

Journals

  1. Gandrup J, Selby D, Dixon W. Classifying Self-Reported Rheumatoid Arthritis Flares Using Daily Patient-Generated Data From a Smartphone App: Exploratory Analysis Applying Machine Learning Approaches. JMIR Formative Research 2024;8:e50679 View
  2. De Larochelambert Q, Hamri I, Chassard T, Meignié A, Storme F, Dupuit M, Diry A, Toussaint J, Louis P, Coulmy N, Antero J. Exploring the effect of the menstrual cycle or oral contraception on elite athletes’ training responses when workload is not objectively quantifiable: the MILS approach and findings from female Olympians. BMJ Open Sport & Exercise Medicine 2024;10(2):e001810 View