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...

Descripción completa

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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8103307/
https://www.ncbi.nlm.nih.gov/pubmed/33885370
http://dx.doi.org/10.2196/22797

Ejemplares similares