Digital health technologies and machine learning augment patient reported outcomes to remotely characterise rheumatoid arthritis
Abstract Digital measures of health status captured during daily life could greatly augment current in-clinic assessments for rheumatoid arthritis (RA), to enable better assessment of disease progression and impact. This work presents results from weaRAble-PRO, a 14-day observational study, which ai...
Main Authors: | Andrew P. Creagh, Valentin Hamy, Hang Yuan, Gert Mertes, Ryan Tomlinson, Wen-Hung Chen, Rachel Williams, Christopher Llop, Christopher Yee, Mei Sheng Duh, Aiden Doherty, Luis Garcia-Gancedo, David A. Clifton |
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Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2024-02-01
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Series: | npj Digital Medicine |
Online Access: | https://doi.org/10.1038/s41746-024-01013-y |
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