An overview of research on electronic medical record oriented named entity recognition and entity relation extraction

作者：Yang, Jin-Feng; Yu, Qiu-Bin; Guan, Yi; Jiang, Zhi-Peng

来源：Acta Automatica Sinica, 2014, 40(8): 1537-1562.

DOI：10.3724/SP.J.1004.2014.01537

• Clinical treatments
• Electronic medical record
• Electronic medical records (EMRs)
• Entity relation extractions
• Future research directions
• Named entity recognition
• Relation extraction
• Shared task

Electronic medical records (EMRs) are generated in the process of clinical treatments. Named entities and entity relations in EMRs reflect patients'health conditions and represent patients'personalized medical knowledge. Consequently, named entity recognition and entity relation extraction on EMR are important expansion of information extraction in the medical domain. In this paper, the language characteristic and structure features of EMR narratives are firstly discussed, and then general methods for named entity recognition and relation extraction are sketched out. Furthermore, this paper introduces and analyzes the tasks and corresponding methods for named entity recognition, entity assertion recognition and relation extraction of EMR in detail. Related shared evaluation tasks and annotated corpora as well as several important dictionaries and knowledge bases are also introduced. Finally, problems to be handled and future research directions are proposed.

• 出版日期2014-8-1
• 单位哈尔滨医科大学附属第二医院