关键词: 电子病历, 结构元素, 实体识别, 倒排索引, 多目标动态规划

Abstract: Structured electronic medical records can understand that it finds suitable keyword in free text, current method of extracting keyword in free text has entity recognition and the Chinese word segmentation. Structured electronic medical records find suitable keyword in a variety of semantic association, and entity recognition and the Chinese word segmentation can’t achieve its goals. Therefore, on the basis of the existing structural elements database, it establishes an inverted index in order to find a group of the most suitable simple elements combination. It gets optimum combination by using multi-objective dynamic. It reuses intersection operation method to find complex elements so as to find out a group of optimal sequences that structure the electronic medical records. Through the system implementation this method can find simple elements, and has certain semantic association between simple elements.

Key words: electronic medical record, structural element, entity recognition, inverted index, multi-objective dynamic programming