面对智能导诊的个性化推荐算法  

A personalized recommendation algorithm for intelligent guidance

作　　者：马钰[1] 张岩[1] 王宏志[1] 张义策 MA Yu;ZHANG Yan;WANG Hongzhi;ZHANG Yice(School of Computer Science and Technology,Harbin Institute of Technology,Harbin 150001,China)

机构地区：[1]哈尔滨工业大学计算机科学与技术学院,黑龙江哈尔滨150001

出　　处：《智能系统学报》2018年第3期352-358,共7页CAAI Transactions on Intelligent Systems

基　　金：国家科技支撑计划项目(2015BAH10F01);国家自然科学基金项目(U1509216;61472099;61602129);国家重点研发计划项目(2016YFB1000703);黑龙江省留学回国人员基金项目(LC2016026)

摘　　要：针对电子医疗信息过载和医疗资源严重不足的问题,本文以辅助诊疗的结果为基础,将Skyline查询和局部范围内基于协同过滤的评分方式有机结合,提出了一种面向智能导诊的个性化推荐算法。实验结果表明,本文提出的算法能为用户提供个性化的合理推荐结果。该方法对合理分配和使用医疗资源有很大的促进作用,能从一定程度上缓解就诊压力,提高就诊质量,具有重要的实用价值和社会意义。Because of the overload in the electronic medical data and serious shortage of medical resources,we combined Skyline queries and the scoring method based on collaborative filtering in local areas and proposed a recommendation algorithm for intelligent personalized guidance.Our experimental results show that the proposed algorithm can provide users with personalized and reasonable recommendations.Thus,the proposed algorithm was found to considerable promote rational allocation and the use of medical resources.Additionally,our algorithm improved the quality of medical treatments to a certain extent.

关 键 词：辅助诊疗 智能导诊 SKYLINE查询 医疗推荐 协同过滤 推荐系统 大数据 个性化 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]