Comparison of Methods for Automatic De-identification of Clinical Texts / 医学信息学杂志
Journal of Medical Informatics
; (12): 44-49, 2017.
Article
en Zh
| WPRIM
| ID: wpr-609407
Biblioteca responsable:
WPRO
ABSTRACT
The paper introduces the common methods for automatic de-identification of clinical texts,including the method based on rules,machine learning method,comprehensive method,etc.,states the challenges for clinical texts practicability,system universality and scalability of clinical texts de-identification research,analyzes the further research direction,and provides reference for researchers of this field.
Texto completo:
1
Base de datos:
WPRIM
Tipo de estudio:
Diagnostic_studies
Idioma:
Zh
Revista:
Journal of Medical Informatics
Año:
2017
Tipo del documento:
Article