Predictive determinants of overall survival among re-infected COVID-19 patients using the elastic-net regularized Cox proportional hazards model: a machine-learning algorithm

BACKGROUND: Narrowing a large set of features to a smaller one can improve our understanding of the main risk factors for in-hospital mortality in patients with COVID-19. This study aimed to derive a parsimonious model for predicting overall survival (OS) among re-infected COVID-19 patients using ma...

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Detalles Bibliográficos
Autores principales: Ebrahimi, Vahid, Sharifi, Mehrdad, Mousavi-Roknabadi, Razieh Sadat, Sadegh, Robab, Khademian, Mohammad Hossein, Moghadami, Mohsen, Dehbozorgi, Afsaneh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8727465/
https://www.ncbi.nlm.nih.gov/pubmed/34986818
http://dx.doi.org/10.1186/s12889-021-12383-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8727465/
https://www.ncbi.nlm.nih.gov/pubmed/34986818
http://dx.doi.org/10.1186/s12889-021-12383-3

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