A computational approach to early sepsis detection. - Jacob S. Calvert; Daniel A. Price; Uli K. Chettipally; Christopher W. Barton; Mitchell D. Feldman; Jana L. Hoffman; Melissa Jay; Ritankar Das (Comput. Biol. Medicine, 2016)

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)

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)

Prediction of short-term mortality in acute heart failure patients using minimal electronic health record data. - Ashwath Radhachandran; Anurag Garikipati; Nicole S. Zelin; Emily Pellegrini; Sina Ghandian; Jacob S. Calvert; Jana L. Hoffman; Qingqing Mao; Ritankar Das (BioData Min., 2021)