基于中医辨证的智能中成药推荐系统

Design and Implementation of Intelligent Self-help TCM Syndrome and Chinese Medicine Recommendation System

大数据时代,百姓传统的就医取药模式正悄然变化着,加之新冠肺炎疫情防控形势的影响,不见面诊疗和网上会诊等新就诊模式得到了老百姓的认可和广泛的参与。针对目前百姓就医难、中成药应用没有专业指导,对于常见病的诊治往往需要自行去药店购药的现状,将中医临床常见的近100种疾病的分型、症状表现、上千种中成药及中医外治疗法资料进行提取和整合,研发了"智能自助中成药推荐系统",实现了中医常见疾病的辨证分型和中成药及中医治疗法的推荐。采用了基于微信小程序的线上专业中医诊疗、智能中成药推荐服务。自系统正式上线运行以来,累积使用人数达到16500人次,系统响应速度快,用户反馈良好。

In recent years,the state has vigorously supported the development of traditional Chinese medicine,especially with the change in health concepts and changes in medical models,traditional Chinese medicine has increasingly shown unique advantages.In view of the current difficulties in medical treatment and the lack of professional guidance for the application of proprietary Chinese medicines,the diagnosis and treatment of common diseases often require the self-purchase of drugs in pharmacies.Extracting and integrating the data of external treatment methods of traditional Chinese medicine,and developed the"intelligent self-help traditional Chinese medicine recommendation system",which realized the syndrome differentiation and classification of common diseases of traditional Chinese medicine and the recommendation of traditional Chinese medicine and external treatment of traditional Chinese medicine.An online intelligent Chinese patent medicine recommendation model based on WeChat mini-programs is adopted,so that patients can enjoy professional Chinese medicine diagnosis and treatment and Chinese patent medicine recommendation services efficiently and at low cost,without having to understand the theory of Chinese medicine,they can obtain scientific,efficient and affordable Chinese patent medicine and foreign medicine.Governance is recommended.Since the system officially went online,the cumulative number of users has reached 16,500,the system responds quickly,and user feedback is good.