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Article

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

2022-02-17

Abstract excerpt

<h4>Background: </h4> Identification of distinct clinical phenotypes in critically ill COVID-19 patients could improve understanding of the disease heterogeneity and enable prognostic and predictive enrichment facilitating more personalized treatment. However, previous attempts did not take into account temporal dynamics of the disease. By including the dimension of time, we aim to gain further insights into the h...

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Literature Corpus work
fe47651a-3de4-5254-bb09-435e3f301969
DOI
10.21203/rs.3.rs-1328331/v1
Open publication

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Evolution of Clinical Phenotypes of COVID-19 Patients During Intensive Care Treatment: An Unsupervised Machine Learning AnalysisDOI 10.21203/rs.3.rs-1328331/v1
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