Purpose/Significance To study the extraction method of adverse drug event(ADE)data from medical texts,and to pro-vide support for clinical drug risk management and scientific decision-making.Method/Process Based on pre-trained model,by com-bining the correlation between the two subtasks of entity recognition and relation extraction,a entity relation joint extraction method for ADE monitoring is designed.Result/Conclusion Experiments on the published ADE extraction dataset show that the proposed method is superior to existing methods and can effectively extract ADE information and its relation from medical texts,providing a powerful means for the discovery and monitoring of ADE.
关键词
药物不良事件/实体关系抽取/预训练模型/自然语言处理/医学
Key words
adverse drug event/entity relation extraction/pre-trained model/natural language processing/medicine
维普
万方数据