Hypertension identification using inpatient clinical notes from electronic medical records: an explainable, data-driven algorithm study

BACKGROUND: Case identification is important for health services research, measuring health system performance and risk adjustment, but existing methods based on manual chart review or diagnosis codes can be expensive, time consuming or of limited validity. We aimed to develop a hypertension case de...

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Detalles Bibliográficos
Autores principales: Martin, Elliot A., D’Souza, Adam G., Lee, Seungwon, Doktorchik, Chelsea, Eastwood, Cathy A., Quan, Hude
Formato: Online Artículo Texto
Lenguaje:English
Publicado: CMA Impact Inc. 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9933992/
https://www.ncbi.nlm.nih.gov/pubmed/36787990
http://dx.doi.org/10.9778/cmajo.20210170

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9933992/
https://www.ncbi.nlm.nih.gov/pubmed/36787990
http://dx.doi.org/10.9778/cmajo.20210170

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