An observational study to develop a scoring system and model to detect risk of hospital admission due to COVID‐19

An observational study to develop a scoring system and model to detect risk of hospital admission due to COVID‐19

Abstract Background COVID‐19 has caused an unprecedented global health emergency. The strains of such a pandemic can overwhelm hospital capacity. Efficient clinical decision‐making is crucial for proper healthcare resource utilization in this crisis. Using observational study data, we set out to cre...

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Bibliographic Details
Main Authors: Zhe Chen, Nicholas W. Russo, Matthew M. Miller, Robert X. Murphy, David B. Burmeister
Format: Article
Language:English
Published: Wiley 2021-04-01
Series:Journal of the American College of Emergency Physicians Open
Subjects:
COVID
machine learning
predictive model
risk of admission
Online Access:https://doi.org/10.1002/emp2.12406

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