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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...
Autores principales: | Chou, Eric H., Wang, Chih-Hung, Hsieh, Yu-Lin, Namazi, Babak, Wolfshohl, Jon, Bhakta, Toral, Tsai, Chu-Lin, Lien, Wan-Ching, Sankaranarayanan, Ganesh, Lee, Chien-Chang, Lu, Tsung-Chien |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Department of Emergency Medicine, University of California, Irvine School of Medicine
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7972393/ https://www.ncbi.nlm.nih.gov/pubmed/33856307 http://dx.doi.org/10.5811/westjem.2020.12.49370 |
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