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Predicting the necessity of oxygen therapy in the early stage of COVID-19 using machine learning
Medical oxygen is a critical element in the treatment process of COVID-19 patients which its shortage impacts the treatment process adversely. This study aims to apply machine learning (ML) to predict the requirement for oxygen-based treatment for hospitalized COVID-19 patients. In the first phase,...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer Berlin Heidelberg
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8832434/ https://www.ncbi.nlm.nih.gov/pubmed/35147843 http://dx.doi.org/10.1007/s11517-022-02519-x |