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Abstract
Advanced computational tools may help identify and characterize Long COVID patients using symptom reports and electronic health records.
- Summarized symptom reports from RECOVER-Adult cohort participants are linked to electronic health record (EHR) data.
- The approach focuses on better understanding the characteristics of Long COVID patients.
- A computable phenotype algorithm is being trained to enhance the identification of Long COVID.
- Current knowledge about Long COVID remains limited, indicating a critical need for improved diagnostic tools.
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