摘要
为共享医生诊疗经验,从相似电子病历检索的角度探讨辅助诊断系统的建设,介绍系统功能模块组成和理论算法,包括主诉相似度、诊疗模式相似度、图像相似度、综合相似度计算算法。此方法能够较为全面地根据电子病历的内容计算相似度,检索出的电子病历为医生制订诊疗计划提供参考。
In order to share doctors＇experience in diagnosis and treatment, the paper studies the construction of the auxiliary diagno- sis system from the perspective of similar Electronic Medical Records （ EMR）, and introduces the system＇s functional modules and theo- retic algorithms, including computational algorithms for the similarity of complaints, similarity of diagnosis and treatment modes, image similarity and comprehensive similarity. This method can compute the similarities comprehensively according to contents of EMR. The EMR retrieved can serve as reference for doctors to make a plan for diagnosis and treatment.
出处
《医学信息学杂志》
CAS
2016年第7期1-6,共6页
Journal of Medical Informatics
关键词
电子病历
辅助诊断
相似度计算
深度学习
Electronic Medical Records （EMR）
Auxiliary diagnosis
Similarity computation
Deep learning
