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Article

Evolution of Clinical Phenotypes of COVID-19 Patients During Intensive Care Treatment: An Unsupervised Machine Learning Analysis.

Journal of intensive care medicine - 1 Jul 2023

Siepel Sander, Dam Tariq A, Fleuren Lucas M, Girbes Armand R J, Hoogendoorn Mark, Thoral Patrick J, Elbers Paul W G, Bennis Frank C

Abstract excerpt

BACKGROUND: Identification of clinical phenotypes in critically ill COVID-19 patients could improve understanding of the disease heterogeneity and enable prognostic and predictive enrichment. However, previous attempts did not take into account temporal dynamics with high granularity. By including the dimension of time, we aim to gain further insights into the heterogeneity of COVID-19. METHODS: We used granular...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Identifiers

PMID: 36744415
DOI: 10.1177/08850666231153393
PMCID: PMC9902809

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