Abigail Green-Saxena

Publication Activity (10 Years)

Years Active: 2020-2020
Publications (10 Years): 3

Top Topics

Prediction Accuracy

Machine Learning

Benchmark Datasets

Top Venues

BMC Medical Informatics Decis. Mak.

Comput. Biol. Medicine

Health Informatics J.

Publications

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
Multicenter validation of a machine-learning algorithm for 48-h all-cause mortality prediction. Health Informatics J. 26 (3) (2020)
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
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. BMC Medical Informatics Decis. Mak. 20 (1) (2020)
Hoyt Burdick, Carson 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
Prediction of respiratory decompensation in Covid-19 patients using machine learning: The READY trial. Comput. Biol. Medicine 124 (2020)