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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Oxford University Press
2022
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| 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 |