A pattern learning-based method for temporal expression extraction and normalization from multi-lingual heterogeneous clinical texts

A pattern learning-based method for temporal expression extraction and normalization from multi-lingual heterogeneous clinical texts

Abstract Background Temporal expression extraction and normalization is a fundamental and essential step in clinical text processing and analyzing. Though a variety of commonly used NLP tools are available for medical temporal information extraction, few work is satisfactory for multi-lingual hetero...

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Bibliographic Details
Main Authors: Tianyong Hao, Xiaoyi Pan, Zhiying Gu, Yingying Qu, Heng Weng
Format: Article
Language:English
Published: BMC 2018-03-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Temporal expression identification
Heuristic rule
Pattern generation
Clinical texts
Heterogeneous
Online Access:http://link.springer.com/article/10.1186/s12911-018-0595-9

Internet

http://link.springer.com/article/10.1186/s12911-018-0595-9

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