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Machine learning in predicting respiratory failure in patients with COVID-19 pneumonia - challenges, strengths, and opportunities in a global health emergency

2020-06-02

Abstract excerpt

<h4>ABSTRACT</h4> <h4>Aims</h4> The aim of this study was to estimate a 48 hour prediction of moderate to severe respiratory failure, requiring mechanical ventilation, in hospitalized patients with COVID-19 pneumonia. <h4>Methods</h4> This was an observational study that comprised consecutive patients with COVID-19 pneumonia admitted to hospital from 21 February to 6 April 2020. The patients’ medical history, demo...

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Literature Corpus work
2c870a0c-5e12-5a8e-a66c-6ab05515f13d
DOI
10.1101/2020.05.30.20107888
Open publication

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Machine learning in predicting respiratory failure in patients with COVID-19 pneumonia - challenges, strengths, and opportunities in a global health emergencyDOI 10.1101/2020.05.30.20107888
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