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Clustering of patient comorbidities within electronic medical records enables high-precision COVID-19 mortality prediction

2021-03-31

Abstract excerpt

We present an explainable AI framework to predict mortality after a positive COVID-19 diagnosis based solely on data routinely collected in electronic healthcare records (EHRs) obtained prior to diagnosis. We grounded our analysis on the ½ Million people UK Biobank and linked NHS COVID-19 records. We developed a method to capture the complexities and large variety of clinical codes present in EHRs, and we show tha...

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Identifiers and source

Literature Corpus work
1d375410-a27e-543f-a383-e1d647143056
DOI
10.1101/2021.03.29.21254579
Open publication

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Clustering of patient comorbidities within electronic medical records enables high-precision COVID-19 mortality predictionDOI 10.1101/2021.03.29.21254579
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