Machine learning identifies long COVID patterns from electronic health records

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 CO...

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Detalles Bibliográficos
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group US 2023
Materias:
Research Briefing
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9838487/
https://www.ncbi.nlm.nih.gov/pubmed/36639563
http://dx.doi.org/10.1038/s41591-022-02130-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9838487/
https://www.ncbi.nlm.nih.gov/pubmed/36639563
http://dx.doi.org/10.1038/s41591-022-02130-5

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