Machine Learning Prediction of Death in Critically Ill Patients With Coronavirus Disease 2019

Machine Learning Prediction of Death in Critically Ill Patients With Coronavirus Disease 2019

OBJECTIVES:. Critically ill patients with coronavirus disease 2019 have variable mortality. Risk scores could improve care and be used for prognostic enrichment in trials. We aimed to compare machine learning algorithms and develop a simple tool for predicting 28-day mortality in ICU patients with c...

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Main Authors: Matthew M. Churpek, MD, MPH, PhD, Shruti Gupta, MD, MPH, Alexandra B. Spicer, MS, Salim S. Hayek, MD, Anand Srivastava, MD, MPH, Lili Chan, MD, MSCR, Michal L. Melamed, MD, MHS, Samantha K. Brenner, MD, MPH, Jared Radbel, MD, Farah Madhani-Lovely, MD, Pavan K. Bhatraju, MD, MSc, Anip Bansal, MD, Adam Green, MD, MBA, Nitender Goyal, MD, Shahzad Shaefi, MD, MPH, Chirag R. Parikh, MD, PhD, Matthew W. Semler, MD, David E. Leaf, MD, MMSc, for the STOP-COVID Investigators
Format: Article
Language:English
Published: Wolters Kluwer 2021-08-01
Series:Critical Care Explorations
Online Access:http://journals.lww.com/10.1097/CCE.0000000000000515

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http://journals.lww.com/10.1097/CCE.0000000000000515

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