Multivariable mortality risk prediction using machine learning for COVID-19 patients at admission (AICOVID)

Multivariable mortality risk prediction using machine learning for COVID-19 patients at admission (AICOVID)

Abstract 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...

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Autores principales: Sujoy Kar, Rajesh Chawla, Sai Praveen Haranath, Suresh Ramasubban, Nagarajan Ramakrishnan, Raju Vaishya, Anupam Sibal, Sangita Reddy
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
Materias:
Medicine
R
Science
Q
Acceso en línea:https://doaj.org/article/4bb232ea10b045828e4c97aab2c2c3d3
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