Article

Machine learning uncovers blood test patterns subphenotypes at hospital admission discerning increased 30-day ICU mortality rates in COVID-19 elderly patients

2022-05-10

Abstract excerpt

<h4>Background</h4> Elderly patients with COVID-19 are among the most numerous populations being admitted in the ICU due to its high mortality rate and high comorbidity incidence. An early severity risk stratification at hospital admission could help optimize ICU usage towards those more vulnerable and critically ill patients. <h4>Methods</h4> Of 503 Spanish patients aged>64 years admitted in the ICU between...

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Literature Corpus work: a6d7d03e-f598-5779-aa0d-1cd6320417ef
DOI: 10.1101/2022.05.10.22274889

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Machine learning uncovers blood test patterns subphenotypes at hospital admission discerning increased 30-day ICU mortality rates in COVID-19 elderly patientsDOI 10.1101/2022.05.10.22274889Read

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