Emily Pellegrini

According to our database, Emily Pellegrini authored at least 4 papers between 2020 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

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

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

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, Uli K. Chettipally, David Shimabukuro, Mitchell Feldman, Ritankar Das

Health Informatics J., 2020

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, Emily Pellegrini, Ritankar Das

Comput. Biol. Medicine, 2020