Clinical and temporal characterization of COVID-19 subgroups using patient vector embeddings of electronic health records

OBJECTIVE: To identify and characterize clinical subgroups of hospitalized Coronavirus Disease 2019 (COVID-19) patients. MATERIALS AND METHODS: Electronic health records of hospitalized COVID-19 patients at NewYork-Presbyterian/Columbia University Irving Medical Center were temporally sequenced and...

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Detalles Bibliográficos
Autores principales: Ta, Casey N, Zucker, Jason E, Chiu, Po-Hsiang, Fang, Yilu, Natarajan, Karthik, Weng, Chunhua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Research and Applications
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9620768/
https://www.ncbi.nlm.nih.gov/pubmed/36255273
http://dx.doi.org/10.1093/jamia/ocac208

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9620768/
https://www.ncbi.nlm.nih.gov/pubmed/36255273
http://dx.doi.org/10.1093/jamia/ocac208

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