Obtaining patient phenotypes in SARS-CoV-2 pneumonia, and their association with clinical severity and mortality

Obtaining patient phenotypes in SARS-CoV-2 pneumonia, and their association with clinical severity and mortality

Abstract Background There exists consistent empirical evidence in the literature pointing out ample heterogeneity in terms of the clinical evolution of patients with COVID-19. The identification of specific phenotypes underlying in the population might contribute towards a better understanding and c...

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Main Authors: Fernando García-García, Dae-Jin Lee, Mónica Nieves-Ermecheo, Olaia Bronte, Pedro Pablo España, José María Quintana, Rosario Menéndez, Antoni Torres, Luis Alberto Ruiz Iturriaga, Isabel Urrutia, COVID-19 & Air Pollution Working Group
Format: Article
Language:English
Published: BMC 2024-06-01
Series:Pneumonia
Subjects:
COVID-19
SARS-CoV-2 pneumonia
Phenotypes
Clustering
Unsupervised machine learning
Online Access:https://doi.org/10.1186/s41479-024-00132-0
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https://doi.org/10.1186/s41479-024-00132-0

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