Use of electronic health record data mining for heart failure subtyping

OBJECTIVE: To assess whether electronic health record (EHR) data text mining can be used to improve register-based heart failure (HF) subtyping. EHR data of 43,405 individuals from two Finnish hospital biobanks were mined for unstructured text mentions of ejection fraction (EF) and validated against...

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Detalles Bibliográficos
Autores principales: Vuori, Matti A., Kiiskinen, Tuomo, Pitkänen, Niina, Kurki, Samu, Laivuori, Hannele, Laitinen, Tarja, Mäntylahti, Sampo, Palotie, Aarno, FinnGen, Niiranen, Teemu J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research Note
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10496250/
https://www.ncbi.nlm.nih.gov/pubmed/37697398
http://dx.doi.org/10.1186/s13104-023-06469-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10496250/
https://www.ncbi.nlm.nih.gov/pubmed/37697398
http://dx.doi.org/10.1186/s13104-023-06469-x

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