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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...
| Autores principales: | , , , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2021
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| Materias: | |
| 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 |