TY - JOUR
AU - Yan, Yao
AU - Schaffter, Thomas
AU - Bergquist, Timothy
AU - Yu, Thomas
AU - Prosser, Justin
AU - Aydin, Zafer
AU - Jabeer, Amhar
AU - Brugere, Ivan
AU - Gao, Jifan
AU - Chen, Guanhua
AU - Causey, Jason
AU - Yao, Yuxin
AU - Bryson, Kevin
AU - Long, Dustin R.
AU - Jarvik, Jeffrey G.
AU - Lee, Christoph I.
AU - Wilcox, Adam B
AU - Guinney, Justin
AU - Mooney, Sean
AU - DREAM Challenge Consortium
PY - 2021
DA - October
TI - A continuously benchmarked and crowdsourced challenge for rapid development and evaluation of models to predict COVID-19 diagnosis and hospitalization
JO - JAMA Network Open
VL - 4
IS - 10
DO - https://doi.org/10.1001/jamanetworkopen.2021.24946
AB - 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.
PB - American Medical Association
UR - https://eprints.gla.ac.uk/280862/
KW - Coronavirus (COVID-19)
ER