Research on information extraction of electronic medical records in Chinese / 生物医学工程学杂志
Journal of Biomedical Engineering
; (6): 757-762, 2010.
Article
en Zh
| WPRIM
| ID: wpr-230789
Biblioteca responsable:
WPRO
ABSTRACT
This is a research to enhance the application of natural language understanding and ontology in the Chinese medical text semantic annotation and content analysis, and so to provide technology support for the computer-readable electronic medical records (EMR). The Chinese EMR information extraction and statistical analysis of related subjects in accordance to the user's demands were performed through building the named entity rules, the classified word list and field ontology by using GATE platform on the basis of EMR text set's construction and pre-processing. The automatic and artificial semantic annotation of EMR text set was implemented. The situation of drugs used in medicinal treatment and the distribution of patients' age and sex were obtained. The ontology-based semantic information extraction can improve the function of computer for text understanding, and the discovery of knowledge in EMR through field ontology is feasible.
Texto completo:
1
Base de datos:
WPRIM
Asunto principal:
Pautas de la Práctica en Medicina
/
Inteligencia Artificial
/
China
/
Almacenamiento y Recuperación de la Información
/
Sistemas de Registros Médicos Computarizados
/
Registros Electrónicos de Salud
/
Métodos
Tipo de estudio:
Prognostic_studies
País/Región como asunto:
Asia
Idioma:
Zh
Revista:
Journal of Biomedical Engineering
Año:
2010
Tipo del documento:
Article