Crowdsourcing digital health measures to predict Parkinson's disease severity: the Parkinson's Disease Digital Biomarker DREAM Challenge.

Fri, 01 Jan 2021 00:00:00 +0100

Solveig K. Sieberts , Jennifer Schaff, Marlena Duda , Bálint Á Pataki, Ming Sun, Phil Snyder , Jean-Francois Daneault, Federico Parisi, Gianluca Costante, Udi Rubin, Peter Banda, Yooree Chae, Elias Chaibub Neto, Earl Ray Dorsey, Zafer Aydin, Aipeng Chen, Laura L. Elo , Carlos Espino, Enrico Glaab , Ethan Goan, Fatemeh Noushin Golabchi, Yasin Görmez , Maria K. Jaakkola , Jitendra Jonnagaddala , Riku Klén , Dongmei Li, Christian McDaniel, Dimitri Perrin , Thanneer M. Perumal, Nastaran Mohammadian Rad , Erin Rainaldi , Stefano Sapienza , Patrick Schwab, Nikolai Shokhirev, Mikko S. Venäläinen , Gloria Vergara-Diaz , Yuqian Zhang , Avner G. S. Abrami, Aditya Adhikary, Carla Agurto, Sherry Bhalla, Halil Ibrahim Bilgin, Vittorio Caggiano, Jun Cheng, Eden Deng, Qiwei Gan, Rajan Girsa, Zhi Han , Stephen Heisig, Kun Huang, Samad Jahandideh, Wolfgang Kopp, Christoph F. Kurz , Gregor Lichtner, Raquel Norel, G. P. S. Raghava , Tavpritesh Sethi, Nicholas Shawen, Vaibhav Tripathi, Matthew Tsai, Tongxin Wang, Yi Wu, Jie Zhang, Xinyu Zhang, Yuanjia Wang, Yuanfang Guan , Daniela Brunner, Paolo Bonato , Lara M. Mangravite , Larsson Omberg :
Crowdsourcing digital health measures to predict Parkinson's disease severity: the Parkinson's Disease Digital Biomarker DREAM Challenge. npj Digit. Medicine 4 (2021)