[1]马钰,张岩,王宏志,等.面对智能导诊的个性化推荐算法[J].智能系统学报,2018,13(03):352-358.[doi:10.11992/tis.201711036]
 MA Yu,ZHANG Yan,WANG Hongzhi,et al.A personalized recommendation algorithm for intelligent guidance[J].CAAI Transactions on Intelligent Systems,2018,13(03):352-358.[doi:10.11992/tis.201711036]
点击复制

面对智能导诊的个性化推荐算法(/HTML)
分享到:

《智能系统学报》[ISSN:1673-4785/CN:23-1538/TP]

卷:
第13卷
期数:
2018年03期
页码:
352-358
栏目:
出版日期:
2018-05-05

文章信息/Info

Title:
A personalized recommendation algorithm for intelligent guidance
作者:
马钰 张岩 王宏志 张义策
哈尔滨工业大学 计算机科学与技术学院, 黑龙江 哈尔滨 150001
Author(s):
MA Yu ZHANG Yan WANG Hongzhi ZHANG Yice
School of Computer Science and Technology, Harbin Institute of Technology, Harbin 150001, China
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
Keywords:
auxiliary diagnosissintelligent guideskyline querymedical recommendationcollaborative filteringrecommendation systembig datapersonality
分类号:
TP311
DOI:
10.11992/tis.201711036
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。
Abstract:
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.

参考文献/References:

[1] LOPEZ-NORES M, BLANCO-FERNÁNDEZ Y, PAZOS-ARIAS J J, et al. Property-based collaborative filtering for health-aware recommender systems[C]//Proceedings of 2011 IEEE International Conference on Consumer Electronics. Las Vegas, NV, USA, 2011.
[2] PATTARAINTAKORN P, ZAVERUCHA G M, CERCONE N. Web based health recommender system using rough sets, survival analysis and rule-based expert systems[C]//Proceedings of the 11th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing. Toronto, Canada, 2007:491-499.
[3] GONG Jibing, WANG Lili, SUN Shengtao, et al. iBole:a hybrid multi-layer architecture for doctor recommendation in medical social networks[J]. Journal of computer science and technology, 2015, 30(5):1073-1081.
[4] 徐守坤, 吴伟伟. 基于语义的医疗资源均衡推荐算法[J]. 计算机工程, 2015, 41(9):74-79. XU Shoukun, WU Weiwei. Balance recommendation algorthm for medical resources based on semantic[J]. Computer engineering, 2015, 41(9):74-79.
[5] PAPADIAS D, TAO Yufei, FU G, et al. An optimal and progressive algorithm for skyline queries[C]//Proceedings of 2003 ACM SIGMOD International Conference on Management of Data. San Diego, USA, 2003:467-478.
[6] CHAN C Y, JAGADISH H V, TAN K L, et al. Finding k-dominant skylines in high dimensional space[C]//Proceedings of 2006 ACM SIGMOD International Conference on Management of Date. Chicago, IL, USA, 2006:503-514.
[7] VLACHOU A, DOULKERIDIS C, KOTIDIS Y. Angle-based space partitioning for efficient parallel skyline computation[C]//Proceedings of 2008 ACM SIGMOD International Conference on Management of Data. Vancouver, Canada, 2008:227-238.
[8] SARKAS N, DAS G, KOUDAS N, et al. Categorical skylines for streaming data[C]//Proceedings of 2008 ACM SIGMOD International Conference on Management of Data. Vancouver, Canada, 2008:239-250.
[9] BÖRZSÖNYI S, KOSSMANN D, STOCKER K. The skyline operator[C]//Proceedings of the 17th International Conference on Data Engineering. Washington, DC, USA, 2001:421-430.
[10] CHAN C Y, ENG P K, TAN K L. Efficient processing of skyline queries with partially-ordered domains[C]//Proceedings of the 21st International Conference on Data Engineering. Tokoyo, Japan, 2005:190-191.
[11] GUO Qinglin. The similarity computing of documents based on VSM[C]//Proceedings of the 32nd Annual IEEE International Computer Software and Applications. Turku, Finland, 2008:585-586.
[12] ROBINSON J T. A search structure for large mul-tidimentional dynamic indexes[C]//Proceedings of 1981 International Conference on Management of Data. Ann Arbor, Michigan, 1981:10-18.
[13] HERLOCKER J L, KONSTAN J A, RIEDL J. Explaining collaborative filtering recommendations[C]//Proceedings of 2000 ACM Conference on Computer Supported Cooperative Work. Philadelphia, Pennsylvania, USA, 2000:241-250.
[14] RICCI F, ROKACH L, SHAPIRA B, et al. Recommender systems handbook[M]. Boston, MA:Springer, 2011:1-35.

备注/Memo

备注/Memo:
收稿日期:2017-11-29。
基金项目: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).
作者简介:马钰,男,1993年生,硕士研究生,主要研究方向为数据库、数据挖掘、大数据。发表学术论文2篇;张岩,男,1962年生,副教授,主要研究方向为数据质量和生物信息学。发表学术论文20余篇;王宏志,男,1978年生,教授,博士生导师,主要研究方向为大数据管理,包括数据质量、XML数据管理和图数据管理。获得省部级科技进步奖2项,发表学术论文200余篇。
通讯作者:王宏志.E-mail:wangzh@hit.edu.cn.
更新日期/Last Update: 2018-06-25