A deep learning approach for predicting severity of COVID-19 patients using a parsimonious set of laboratory markers

The SARS-CoV-2 virus has caused tremendous healthcare burden worldwide. Our focus was to develop a practical and easy-to-deploy system to predict the severe manifestation of disease in patients with COVID-19 with an aim to assist clinicians in triage and treatment decisions. Our proposed predictive...

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Detalles Bibliográficos
Autores principales: Singh, Vivek, Kamaleswaran, Rishikesan, Chalfin, Donald, Buño-Soto, Antonio, San Roman, Janika, Rojas-Kenney, Edith, Molinaro, Ross, von Sengbusch, Sabine, Hodjat, Parsa, Comaniciu, Dorin, Kamen, Ali
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8626152/
https://www.ncbi.nlm.nih.gov/pubmed/34870131
http://dx.doi.org/10.1016/j.isci.2021.103523

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8626152/
https://www.ncbi.nlm.nih.gov/pubmed/34870131
http://dx.doi.org/10.1016/j.isci.2021.103523

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