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Multivariable mortality risk prediction using machine learning for COVID-19 patients at admission (AICOVID)
In Coronavirus disease 2019 (COVID-19), early identification of patients with a high risk of mortality can significantly improve triage, bed allocation, timely management, and possibly, outcome. The study objective is to develop and validate individualized mortality risk scores based on the anonymiz...
| Autores principales: | , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8211710/ https://www.ncbi.nlm.nih.gov/pubmed/34140592 http://dx.doi.org/10.1038/s41598-021-92146-7 |