Comparison of Methods for Automatic De-identification of Clinical Texts
10.3969/j.issn.1673-6036.2017.04.011
- VernacularTitle:临床文本自动去识别方法比较
- Author:
Liting DU
;
Wei LUO
;
Lei LI
;
Bin LIN
;
Chenxi XIA
;
Guoqing MA
;
Danni XIONG
;
Jingdong MA
- Keywords:
De-identification;
Automation;
Clinical free text;
Protected Health Information (PHI)
- From:
Journal of Medical Informatics
2017;38(4):44-49
- CountryChina
- Language:Chinese
-
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.
