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Machine Learning Analysis of Post-Acute COVID Symptoms Identifies Distinct Clusters and Severity Groups

2025-11-17 health informatics Title + abstract only
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Questionnaires that capture patient-reported symptomatology provide low-cost but potentially high-value data for the de novo discovery of disease phenotype, severity, and responsiveness to intervention groupings within an umbrella condition. The availability of comprehensive electronic health records (EHRs) has nonetheless overshadowed the use of questionnaires data for symptom analysis in the context of COVID-19. We analyzed de-identified questionnaires from post-acute COVID-19 cohorts at the U...

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