Emily Pellegrini - researchr alias

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Viewing Publication 1 - 4 from 4

2021

Prediction of short-term mortality in acute heart failure patients using minimal electronic health record dataAshwath Radhachandran, Anurag Garikipati, Nicole S. Zelin, Emily Pellegrini, Sina Ghandian, Jacob S. Calvert, Jana L. Hoffman, Qingqing Mao, Ritankar Das. biodatamining, 14(1):23, 2021. [doi]

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 hospitalsHoyt Burdick, Eduardo Pino, Denise Gabel-Comeau, Carol Gu, Jonathan Roberts, Sidney Le, Joseph Slote, Nicholas Saber, Emily Pellegrini, Abigail Green-Saxena, Jana Hoffman, Ritankar Das. midm, 20(1):276, 2020. [doi]

Prediction of respiratory decompensation in Covid-19 patients using machine learning: The READY trialHoyt 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. cbm, 124:103949, 2020. [doi]

Multicenter validation of a machine-learning algorithm for 48-h all-cause mortality predictionHamid 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 Chettipally, David Shimabukuro, Mitchell Feldman, Ritankar Das. hij, 26(3):1912-1925, 2020. [doi]

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