@article{Yan_Y-2021_96829,
title = {A continuously benchmarked and crowdsourced challenge for rapid development and evaluation of models to predict COVID-19 diagnosis and hospitalization},
author = {Yan, Y. and Schaffter, T. and Bergquist, T. and Yu, T. and Prosser, J. and Aydin, Z. and Jabeer, A. and Brugere, I. and Gao, J. and Chen, G. and Causey, J. and Yao, Y. and Bryson, K. and Long, D. and Jarvik, J. and Lee, C. and Wilcox, A. and Guinney, J. and Mooney, S. and DREAM Challenge Consortium},
month = {oct},
year = {2021},
abstract = {Importance:Machine learning could be used to predict the likelihood of diagnosis and severity of illness. Lack of COVID-19 patient data has hindered the data science community in developing models to aid in the response to the pandemic.},
volume = {4},
issue = {10},
journal = {JAMA Network Open},
publisher = {American Medical Association},
url = {https://doi.org/10.1001/jamanetworkopen.2021.24946},
}
