摘要
提出一种基于三元组信息抽取策略的新型实体提取模型,以解决传统命名实体识别方法应用于高血压中医电子病历医疗实体识别时出现的实体离散问题,阐述实验数据集及相关处理、实验方法与结果,为中医医疗实体自动化抽取提供方法学参考。
The paper proposes a new entity extraction model based on the triplet information extraction strategy to solve the entity discrete problem when the traditional Named Entity Recognition(NER)method is applied to the medical entity recognition of hypertension Electronic Medical Record(EMR)of Traditional Chinese Medicine(TCM),expounds the experimental data set and related processing,experimental methods and results,and provides methodological references for automatic extraction of TCM medical entity.
作者
庞震
顾继昱
吴宇飞
颜仕星
李汪洋
孙越
PANG Zhen;GU Jiyu;WU Yufei;YAN Shixing;LI Wangyang;SUN Yue(Xiyuan Hospital,China Academy of Chinese Medical Sciences,Beijing 100091,China;Graduate School of Beijing University of Chinese Medicine,BeiJing 100105,China;Shanghai Daosh Medical Technology Co.Ltd.,Shanghai 201203,China;Shanghai University of Traditional Chinese Medicine,Shanghai 201203,China;China National Health Development Research Center,Beijing 100044,China)
出处
《医学信息学杂志》
CAS
2021年第9期45-51,共7页
Journal of Medical Informatics
关键词
高血压
中医病历
命名实体识别
BERT联合抽取
hypertension
Traditional Chinese Medicine(TCM)medical records
Named Entity Recognition(NER)
BERT joint extraction
