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Predicting SARS-CoV-2 infection duration at hospital admission:a deep learning solution
COVID-19 cases are increasing around the globe with almost 5 million of deaths. We propose here a deep learning model capable of predicting the duration of the infection by means of information available at hospital admission. A total of 222 patients were enrolled in our observational study. Anagrap...
| 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/PMC8739354/ https://www.ncbi.nlm.nih.gov/pubmed/34993693 http://dx.doi.org/10.1007/s11517-021-02479-8 |