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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...
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 |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Canadian Society of Clinical Chemists. Published by Elsevier Inc.
2021
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Materias: | |
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 |
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