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Comparison of Methods for Automatic De-identification of Clinical Texts / 医学信息学杂志
Article de Zh | WPRIM | ID: wpr-609407
Bibliothèque 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.
Mots clés
Texte intégral: 1 Indice: WPRIM Type d'étude: Diagnostic_studies langue: Zh Texte intégral: Journal of Medical Informatics Année: 2017 Type: Article
Texte intégral: 1 Indice: WPRIM Type d'étude: Diagnostic_studies langue: Zh Texte intégral: Journal of Medical Informatics Année: 2017 Type: Article