Design and Construction of a NLP Based Knowledge Extraction Methodology in the Medical Domain Applied to Clinical Information / 대한의료정보학회지
Healthcare Informatics Research
;
: 376-380, 2018.
Artículo
en Inglés
| WPRIM
| ID: wpr-717652
ABSTRACT
OBJECTIVES:
This research presents the design and development of a software architecture using natural language processing tools and the use of an ontology of knowledge as a knowledge base.METHODS:
The software extracts, manages and represents the knowledge of a text in natural language. A corpus of more than 200 medical domain documents from the general medicine and palliative care areas was validated, demonstrating relevant knowledge elements for physicians.RESULTS:
Indicators for precision, recall and F-measure were applied. An ontology was created called the knowledge elements of the medical domain to manipulate patient information, which can be read or accessed from any other software platform.CONCLUSIONS:
The developed software architecture extracts the medical knowledge of the clinical histories of patients from two different corpora. The architecture was validated using the metrics of information extraction systems.
Texto completo:
Disponible
Índice:
WPRIM (Pacífico Occidental)
Asunto principal:
Cuidados Paliativos
/
Procesamiento de Lenguaje Natural
/
Almacenamiento y Recuperación de la Información
/
Bases del Conocimiento
/
Gestión del Conocimiento
Límite:
Humanos
Idioma:
Inglés
Revista:
Healthcare Informatics Research
Año:
2018
Tipo del documento:
Artículo
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