中医辅助诊疗推荐系统设计与实现

Design and Implementation of TCM Auxiliary Diagnosis and Treatment Recommendation System

目的研究和开发辅助中医医生诊疗的中医辅助诊疗推荐系统。方法以中医历史病案数据为基础,利用数据挖掘技术和度量学习技术挖掘、整理中医诊疗经验知识,建立病案相似度计算方法,设计中医辅助诊疗推荐系统功能框架并开发应用系统。结果设计并构建了中医辅助诊疗推荐系统,在四诊识别阶段为医生推荐候选症状,在辨证论治阶段为医生推荐诊疗方案,从而辅助经验不足的医生诊疗。结论该系统可以在临床实践中辅助医生诊疗,从而降低中医传承难度、改善中医传承模式,更好地发展和利用中医药。

Objective To research and develop a TCM auxiliary diagnosis and treatment recommendation system.Methods Based on TCM historical medical record data,this article established a method for calculating the similarity of medical records,designed the functional framework of TCM auxiliary diagnosis and treatment recommendation system,and developed the application system by using data mining technology and metric learning technology to mine and sort out the experience and knowledge of TCM diagnosis and treatment.Results A TCM auxiliary diagnosis and treatment recommendation system was built,which could recommend symptoms for doctors in the process of TCM four diagnostic methods,and recommend diagnosis and treatment plans for doctors in the stage of syndrome differentiation and treatment,so as to assist inexperienced doctors in diagnosis and treatment.Conclusion The system can assist TCM diagnosis and treatment in clinical practice,so as to reduce the difficulty of TCM inheritance,improve TCM inheritance model,and better develop and use TCM.