Deep learning prediction of likelihood of ICU admission and mortality in COVID-19 patients using clinical variables

Deep learning prediction of likelihood of ICU admission and mortality in COVID-19 patients using clinical variables

Background This study aimed to develop a deep-learning model and a risk-score system using clinical variables to predict intensive care unit (ICU) admission and in-hospital mortality in COVID-19 patients. Methods This retrospective study consisted of 5,766 persons-under-investigation for COVID-19 be...

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Bibliographic Details
Main Authors: Xiaoran Li, Peilin Ge, Jocelyn Zhu, Haifang Li, James Graham, Adam Singer, Paul S. Richman, Tim Q. Duong
Format: Article
Language:English
Published: PeerJ Inc. 2020-11-01
Series:PeerJ
Subjects:
Machine learning
Coronavirus
Pneumonia
SARS-CoV-2
Prediction model
Online Access:https://peerj.com/articles/10337.pdf

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