@misc{indiciae90bade39da0e,
  title = {Crowdsourcing digital health measures to predict Parkinson's disease severity: the Parkinson's Disease Digital Biomarker DREAM Challenge},
  author = {Sieberts, S. K. and Schaff, J. and Duda, M. and Pataki, B. A. and Sun, M. and Snyder, P. and Daneault, J.-F. and Parisi, F. and Costante, G. and Rubin, U. and Banda, P. and Chae, Y. and Neto, E. C. and Dorsey, R. and Aydın, Z. and Chen, A. and Elo, L. L. and Espino, C. and Glaab, E. and Goan, E. and Golabchi, F. N. and Görmez, Y. and Jaakkola, M. K. and Jonnagaddala, J. and KLEn, R. and Li, D. and McDaniel, C. and Perrin, D. and Rad, N. M. and Rainaldi, E. and Sapienza, S. and Schwab, P. and Shokhirev, N. and Venäläinen, M. S. and Vergara-Diaz, G. and Zhang, Y. and Parkinson's Disease Digital Biomarker Challenge Consortium, and Wang, Y. and Guan, Y. and Brunner, D. and Bonato, P. and Mangravite, L. M. and Omberg},
  year = {2020},
  doi = {10.1101/2020.01.13.904722},
  url = {https://www.biorxiv.org/content/10.1101/2020.01.13.904722v1},
  note = {Source identifier: 10.1101/2020.01.13.904722}
}