Crowdsourcing digital health measures to predict Parkinson's disease severity: the Parkinson's Disease Digital Biomarker DREAM Challenge
S. K. Sieberts, J. Schaff, M. Duda, B. A. Pataki, M. Sun, P. Snyder, J.-F. Daneault, F. Parisi, G. Costante, U. Rubin, P. Banda, Y. Chae, E. C. Neto, R. Dorsey, Z. Aydın, , Omberg
The paper evaluates digital biomarkers from wearable data to predict Parkinson's disease status and symptom severity using a crowdsourced challenge.
bioRxiv · Jan 13, 2020Bioengineering