Article

Deploying Machine Learning to Validate Clinical Phenotypes and Factors Associated with Mortality Risk in 2,022 Critically Ill Patients with COVID-19 in Spain

2020-12-10

Abstract excerpt

Background: The identification of factors associated with Intensive Care Unit (ICU) mortality and derived clinical phenotypes in COVID-19 patients could help for a more tailored approach to clinical decision-making that improves prognostic outcomes. The objective was to analyze patient’s factors associated with mortality risk and utilize a Machine Learning(ML) to derive clinical COVID-19 phenotypes.<br><br>Methods...

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Literature Corpus work: cc28c3a2-f9d1-5f5b-9215-25025e922ced
DOI: 10.2139/ssrn.3731426

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