Concept attribute labeling and context-aware named entity recognition in electronic health records

Extracting valuable knowledge from Electronic Health Records (EHR) represents a challenging task due to the presence of both structured and unstructured data, including codified fields, images and test results. Narrative text in particular contains a variety of notes which are diverse in language an...

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Autores:
Pomares-Quimbaya, Alexandra
González, Rafael A.
Muñoz, Óscar
Garcia-Pena, A.A.
Daza Rodríguez, Julián Camilo
Sierra Múnera, Alejandro
Labbé, Cyril
Tipo de recurso:
Part of book
Fecha de publicación:
2020
Institución:
Pontificia Universidad Javeriana
Repositorio:
Repositorio Universidad Javeriana
Idioma:
N/A
OAI Identifier:
oai:repository.javeriana.edu.co:10554/57112
Acceso en línea:
http://hdl.handle.net/10554/57112
http://dx.doi.org/10.4018/978-1-7998-1204-3.ch017
Palabra clave:
Rights
License
Atribución-NoComercial 4.0 Internacional