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A machine learning-based phenotype for long COVID in children: an EHR-based study from the RECOVER program

2022-12-26

Abstract excerpt

<h4>Background</h4> As clinical understanding of pediatric Post-Acute Sequelae of SARS CoV-2 (PASC) develops, and hence the clinical definition evolves, it is desirable to have a method to reliably identify patients who are likely to have post-acute sequelae of SARS CoV-2 (PASC) in health systems data. <h4>Methods and Findings</h4> In this study, we developed and validated a machine learning algorithm to classify...

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Literature Corpus work
787e84e0-1a84-5734-8dc9-3b0e10a60b0c
DOI
10.1101/2022.12.22.22283791
Open publication

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A machine learning-based phenotype for long COVID in children: an EHR-based study from the RECOVER programDOI 10.1101/2022.12.22.22283791
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