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A Continuously Benchmarked and Crowdsourced Challenge for Rapid Development and Evaluation of Models to Predict COVID-19 Diagnosis and Hospitalization
Yan, Yao; Schaffter, Thomas; Bergquist, Timothy; Yu, Thomas; Prosser, Justin; Aydin, Zafer; Jabeer, Amhar; Brugere, Ivan; Gao, Jifan; Chen, Guanhua; Causey, Jason; Yao, Yuxin; Bryson, Kevin; Long, Dustin R.; Jarvik, Jeffrey G.; Lee, Christoph, I; Wilcox, Adam; Guinney, Justin; Mooney, Sean (AMER MEDICAL ASSOC330 N WABASH AVE, STE 39300, CHICAGO, IL 60611-5885, 2021)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 ...