Individual outcome prediction models for patients with COVID-19 based on their first day of admission to the intensive care unit

BACKGROUND: Currently, good prognosis and management of critically ill patients with COVID-19 are crucial for developing disease management guidelines and providing a viable healthcare system. We aimed to propose individual outcome prediction models based on binary logistic regression (BLR) and arti...

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Detalles Bibliográficos
Autores principales: Rigo-Bonnin, Raúl, Gumucio-Sanguino, Víctor-Daniel, Pérez-Fernández, Xose-Luís, Corral-Ansa, Luisa, Fuset-Cabanes, MariPaz, Pons-Serra, Maria, Hernández-Jiménez, Enrique, Ventura-Pedret, Salvador, Boza-Hernández, Enric, Gasa, Mercè, Solanich, Xavier, Sabater-Riera, Joan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Canadian Society of Clinical Chemists. Published by Elsevier Inc. 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8577569/
https://www.ncbi.nlm.nih.gov/pubmed/34767791
http://dx.doi.org/10.1016/j.clinbiochem.2021.11.001

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8577569/
https://www.ncbi.nlm.nih.gov/pubmed/34767791
http://dx.doi.org/10.1016/j.clinbiochem.2021.11.001

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