Machine learning identifies long COVID patterns from electronic health records.
retrospective_cohort · Level III
Where this comes from
- Record sourced from PubMed, PMID 36639563.
- Also identified by DOI 10.1038/s41591-022-02130-5 and PMC identifier 9838487.
- No licence information is recorded for this record.
- Because redistribution is not established, this page shows the abstract only. Follow the links below for the full text.
Abstract
A machine learning algorithm identifies four reproducible clinical subphenotypes of long COVID from the electronic health records of patients with post-acute sequelae of SARS-CoV-2 infection within 30–180 days of infection; these patterns have implications for the treatment and management of long COVID.
Medical subject headings
- COVID-19