Complete Blood Count Parameters Outperform Putative Inflammatory Markers in Predicting COVID-19 Mortality: A Multimodal Machine Learning Model

Introduction: SARS-CoV-2 evoked immunodysregulation drives inflammation, morbidity, and mortality across COVID-19 presentation spectrum. We sought to identify baseline cell counts and proportions reported with a complete blood count (CBC) that contribute independent information to a model predicting...

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Detalles Bibliográficos
Autores principales: Idogun, Precious, Sia, John, Ward, Mindy, Patel, Dillan, Wiese-Rometsch, Wilhelmine, Patel, Anjan J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Society of Hematology. Published by Elsevier Inc. 2021
Materias:
901.Health Services Research-Non-Malignant Conditions
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8701620/
http://dx.doi.org/10.1182/blood-2021-151849

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8701620/
http://dx.doi.org/10.1182/blood-2021-151849

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