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...

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Detalles Bibliográficos
Autores principales: Kar, Sujoy, Chawla, Rajesh, Haranath, Sai Praveen, Ramasubban, Suresh, Ramakrishnan, Nagarajan, Vaishya, Raju, Sibal, Anupam, Reddy, Sangita
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
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

Internet

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

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