Early triage of critically ill COVID-19 patients using deep learning

Volume: 11, Issue: 1
Published: Jul 15, 2020
Abstract
The sudden deterioration of patients with novel coronavirus disease 2019 (COVID-19) into critical illness is of major concern. It is imperative to identify these patients early. We show that a deep learning-based survival model can predict the risk of COVID-19 patients developing critical illness based on clinical characteristics at admission. We develop this model using a cohort of 1590 patients from 575 medical centers, with internal...
Paper Details
Title
Early triage of critically ill COVID-19 patients using deep learning
Published Date
Jul 15, 2020
Volume
11
Issue
1
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