Early prediction of level-of-care requirements in patients with COVID-19

Early prediction of level-of-care requirements in patients with COVID-19

This study examined records of 2566 consecutive COVID-19 patients at five Massachusetts hospitals and sought to predict level-of-care requirements based on clinical and laboratory data. Several classification methods were applied and compared against standard pneumonia severity scores. The need for...

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Bibliographic Details
Main Authors: Boran Hao, Shahabeddin Sotudian, Taiyao Wang, Tingting Xu, Yang Hu, Apostolos Gaitanidis, Kerry Breen, George C Velmahos, Ioannis Ch Paschalidis
Format: Article
Language:English
Published: eLife Sciences Publications Ltd 2020-10-01
Series:eLife
Subjects:
COVID-19
SARS-CoV-2
risk prediction
artificial intelligence
machine learning
critical care
Online Access:https://elifesciences.org/articles/60519

Internet

https://elifesciences.org/articles/60519

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