Cargando…
Machine Learning Approaches to Classify Self-Reported Rheumatoid Arthritis Health Scores Using Activity Tracker Data: Longitudinal Observational Study
BACKGROUND: The increasing use of activity trackers in mobile health studies to passively collect physical data has shown promise in lessening participation burden to provide actively contributed patient-reported outcome (PRO) information. OBJECTIVE: The aim of this study was to develop machine lear...
Autores principales: | Rao, Kaushal, Speier, William, Meng, Yiwen, Wang, Jinhan, Ramesh, Nidhi, Xie, Fenglong, Su, Yujie, Nowell, W Benjamin, Curtis, Jeffrey R, Arnold, Corey |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10337464/ https://www.ncbi.nlm.nih.gov/pubmed/37017471 http://dx.doi.org/10.2196/43107 |
Ejemplares similares
-
Machine Learning Applied to Patient‐Reported Outcomes to Classify Physician‐Derived Measures of Rheumatoid Arthritis Disease Activity
por: Curtis, Jeffrey R., et al.
Publicado: (2022) -
The Economic Benefit of Remission for Patients with Rheumatoid Arthritis
por: Curtis, Jeffrey R., et al.
Publicado: (2022) -
Participant Engagement and Adherence to Providing Smartwatch and Patient-Reported Outcome Data: Digital Tracking of Rheumatoid Arthritis Longitudinally (DIGITAL) Real-World Study
por: Nowell, William B, et al.
Publicado: (2023) -
Will savings from biosimilars offset increased costs related to dose escalation? A comparison of infliximab and golimumab for rheumatoid arthritis
por: Curtis, Jeffrey R., et al.
Publicado: (2019) -
Use of ICD-10 diagnosis codes to identify seropositive and seronegative rheumatoid arthritis when lab results are not available
por: Curtis, Jeffrey R., et al.
Publicado: (2020)