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Scanning the medical phenome to identify new diagnoses after recovery from COVID-19 in a US cohort

OBJECTIVE: COVID-19 survivors are at risk for long-term health effects, but assessing the sequelae of COVID-19 at large scales is challenging. High-throughput methods to efficiently identify new medical problems arising after acute medical events using the electronic health record (EHR) could improv...

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Detalles Bibliográficos
Autores principales: Kerchberger, Vern Eric, Peterson, Josh F, Wei, Wei-Qi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9452157/
https://www.ncbi.nlm.nih.gov/pubmed/36005898
http://dx.doi.org/10.1093/jamia/ocac159