Outcome measures based on digital health technology sensor data: data- and patient-centric approaches
Author:
Publisher
Springer Science and Business Media LLC
Subject
Health Information Management,Health Informatics,Computer Science Applications,Medicine (miscellaneous)
Link
http://www.nature.com/articles/s41746-020-0305-8.pdf
Reference43 articles.
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2. Bot, B. M. et al. The mPower study, Parkinson disease mobile data collected using ResearchKit. Sci. Data 3, 160011 (2016).
3. Silva de Lima, A. L. et al. Large-scale wearable sensor deployment in Parkinson’s patients: The Parkinson@Home Study Protocol. JMIR Res. Protoc. 5, e172 (2016).
4. Lo, C. et al. Predicting motor, cognitive & functional impairment in Parkinson’s. Ann. Clin. Transl. Neurol. 6, 1498–1509 (2019).
5. Zhan, A. et al. Using smartphones and machine learning to quantify Parkinson disease severity: the mobile Parkinson disease score. JAMA Neurol. 75, 876–880 (2018).
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