Clinical Features of Emergency Department Patients from Early COVID-19 Pandemic that Predict SARS-CoV-2 Infection: Machine-learning Approach

Clinical Features of Emergency Department Patients from Early COVID-19 Pandemic that Predict SARS-CoV-2 Infection: Machine-learning Approach

Introduction: Within a few months coronavirus disease 2019 (COVID-19) evolved into a pandemic causing millions of cases worldwide, but it remains challenging to diagnose the disease in a timely fashion in the emergency department (ED). In this study we aimed to construct machine-learning (ML) models...

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Bibliographic Details
Main Authors: Eric H. Chou, Chih-Hung Wang, Yu-Lin Hsieh, Babak Namazi, Jon Wolfshohl, Toral Bhakta, Chu-Lin Tsai, Wan-Ching Lien, Ganesh Sankaranarayanan, Chien-Chang Lee, Tsung-Chien Lu
Format: Article
Language:English
Published: eScholarship Publishing, University of California 2020-12-01
Series:Western Journal of Emergency Medicine
Online Access:https://escholarship.org/uc/item/6gp6d07h

Internet

https://escholarship.org/uc/item/6gp6d07h

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