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A Hybrid Model for Family History Information Identification and Relation Extraction: Development and Evaluation of an End-to-End Information Extraction System

BACKGROUND: Family history information is important to assess the risk of inherited medical conditions. Natural language processing has the potential to extract this information from unstructured free-text notes to improve patient care and decision making. We describe the end-to-end information extr...

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Detalles Bibliográficos
Autores principales:	Kim, Youngjun, Heider, Paul M, Lally, Isabel RH, Meystre, Stéphane M
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	JMIR Publications 2021
Materias:	Original Paper
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8103307/ https://www.ncbi.nlm.nih.gov/pubmed/33885370 http://dx.doi.org/10.2196/22797

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