Prediction of respiratory decompensation in Covid-19 patients using machine learning: The READY trial. - Hoyt Burdick; Carson K. Lam; Samson Mataraso; Anna Siefkas; Gregory Braden; R. Phillip Dellinger; Andrea McCoy; Jean-Louis Vincent; Abigail Green-Saxena; Gina Barnes; Jana L. Hoffman; Jacob S. Calvert; et al. (Comput. Biol. Medicine, 2020)

Multicenter validation of a machine-learning algorithm for 48-h all-cause mortality prediction. - Hamid Mohamadlou; Saarang Panchavati; Jacob S. Calvert; Anna Lynn-Palevsky; Sidney Le; Angier Allen; Emily Pellegrini; Abigail Green-Saxena; Christopher W. Barton; Grant Fletcher; Lisa Shieh; Philip B. Stark; et al. (Health Informatics J., 2020)

Validation of a machine learning algorithm for early severe sepsis prediction: a retrospective study predicting severe sepsis up to 48 h in advance using a diverse dataset from 461 US hospitals. - Hoyt Burdick; Eduardo Pino; Denise Gabel-Comeau; Carol Gu; Jonathan Roberts; Sidney Le; Joseph Slote; Nicholas Saber; Emily Pellegrini; Abigail Green-Saxena; Jana L. Hoffman; Ritankar Das (BMC Medical Informatics Decis. Mak., 2020)