Open AccessMachine Learning Prediction of Death in Critically Ill Patients With Coronavirus Disease 2019
Author(s) -
Matthew M Churpek,
Shruti Gupta,
A. Spicer,
Salim S. Hayek,
Anand Srivastava,
Lili Chan,
Michal L. Melamed,
Samantha K. Brenner,
Jared Radbel,
Farah Madhani-Lovely,
Pavan K. Bhatraju,
Anip Bansal,
Adam Green,
Nitender Goyal,
Shahzad Shaefi,
Chirag R. Parikh,
Matthew W. Semler,
David E. Leaf
Publication year - 2021
Publication title -
critical care explorations
Language(s) - English
Resource type - Journals
ISSN - 2639-8028
DOI - 10.1097/cce.0000000000000515
Subject(s) - receiver operating characteristic , medicine , gradient boosting , observational study , early warning score , machine learning , artificial intelligence , area under the curve , intensive care unit , covid-19 , intensive care , disease , critically ill , intensive care medicine , emergency medicine , infectious disease (medical specialty) , computer science , random forest