Extracting Family History of Patients From Clinical Narratives: Exploring an End-to-End Solution With Deep Learning Models

BACKGROUND: Patients’ family history (FH) is a critical risk factor associated with numerous diseases. However, FH information is not well captured in the structured database but often documented in clinical narratives. Natural language processing (NLP) is the key technology to extract patients’ FH...

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Detalles Bibliográficos
Autores principales: Yang, Xi, Zhang, Hansi, He, Xing, Bian, Jiang, Wu, Yonghui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2020
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7772072/
https://www.ncbi.nlm.nih.gov/pubmed/33320104
http://dx.doi.org/10.2196/22982

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7772072/
https://www.ncbi.nlm.nih.gov/pubmed/33320104
http://dx.doi.org/10.2196/22982

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