Understanding pediatric long COVID using a tree-based scan statistic approach: An EHR-based cohort study from the RECOVER Program

Abstract excerpt

<h4>STRUCTURED ABSTRACT</h4> <h4>Objectives</h4> Post-acute sequalae of SARS-CoV-2 infection (PASC) is not well defined in pediatrics given its heterogeneity of presentation and severity in this population. The aim of this study is to use novel methods that rely on data mining approaches rather than clinical experience to detect conditions and symptoms associated with pediatric PASC. <h4>Materials and Methods</h4>...

Topics

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• Child
• COVID-19
• Disease Progression
• Machine Learning
• Phenotype
• SARS-CoV-2
• Systemic Inflammatory Response Syndrome

Identifiers and source

Literature Corpus work

d192e1f2-f288-5072-a582-6dc2c98a6a70

DOI

10.1101/2022.12.08.22283158