智能中成药推荐系统设计  

Design of intelligent Chinese patent medicine recommendation system

作　　者：毛苏皖 龚庆悦[1] 万中华 Mao Suwan;Gong Qingyue;Wan Zhonghua(College of Artificial Intelligence and Information Technology,Nanjing University of Chinese Medicine,Nanjing 210023,China)

机构地区：[1]南京中医药大学人工智能与信息技术学院,江苏南京210023

出　　处：《无线互联科技》2023年第12期27-29,36,共4页Wireless Internet Technology

基　　金：2020级大学生创新创业训练计划项目,项目编号:103152021076;江苏高校哲学社会科学研究一般项目,项目编号:2021SJA0337。

摘　　要：针对目前医疗资源分布不均的现状,文章设计了识药通小程序,能通过体质测评、辨证推荐、中药查询、交流论坛等功能指导用户合理用药,避免患者因缺少中医药知识而在自我药疗的过程中遭受二次伤害。小程序实现了基于用户病症和体质推荐用药的功能,辅助患者自主购药,防止在就医困难的情况下延误病情。In response to the current uneven distribution of medical resources,the article has designed a mini program called“Zhiyao Tong”,which can guide users to use medication reasonably through functions such as physical fitness assessment,syndrome differentiation recommendation,traditional Chinese medicine query,and communication forum,to avoid patients suffering secondary harm during self medication due to a lack of knowledge of traditional Chinese medicine.The mini program implements the function of recommending medication based on user symptoms and physical fitness,assisting patients in purchasing medication independently and preventing delays in medical treatment difficulties.

关 键 词：微信小程序 体质辨证 中成药 智能推荐 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]