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Reengineering a machine learning phenotype to adapt to the changing COVID-19 landscape: A study from the N3C and RECOVER consortia

2023-12-09

Abstract excerpt

<h4>ABSTRACT</h4> <h4>Background</h4> In 2021, we used the National COVID Cohort Collaborative (N3C) as part of the NIH RECOVER Initiative to develop a machine learning (ML) pipeline to identify patients with a high probability of having post-acute sequelae of SARS-CoV-2 infection (PASC), or Long COVID. However, the increased home testing, missing documentation, and reinfections that characterize the latter years...

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Literature Corpus work
61ea6853-abe8-5b7f-bb42-961833421a18
DOI
10.1101/2023.12.08.23299718
Open publication

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Reengineering a machine learning phenotype to adapt to the changing COVID-19 landscape: A study from the N3C and RECOVER consortiaDOI 10.1101/2023.12.08.23299718
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