iBole: A Hybrid Multi-Layer Architecture for Doctor Recommendation in Medical Social Networks
iBole: A Hybrid Multi-Layer Architecture for Doctor Recommendation in Medical Social Networks
复制标题
iBole：医疗社交网络中医生推荐的混合多层架构
DOI：
10.1007/s11390-015-1583-5
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发表时间：
2015-09
影响因子：
0.7
通讯作者：
Peng, Si-Wei
中科院分区：
文献类型：
--
作者：
Gong, Ji-Bing;Wang, Li-Li;Sun, Sheng-Tao;Peng, Si-Wei
In this paper, we try to systematically study how to perform doctor recommendation in medical social networks (MSNs). Specifically, employing a real-world medical dataset as the source in our work, we propose iBole, a novel hybrid multi-layer architecture, to solve this problem. First, we mine doctor-patient relationships/ties via a time-constraint probability factor graph model (TPFG). Second, we extract network features for ranking nodes. Finally, we propose RWRModel, a doctor recommendation model via the random walk with restart method. Our real-world experiments validate the effectiveness of the proposed methods. Experimental results show that we obtain good accuracy in mining doctor-patient relationships from the network, and the doctor recommendation performance is better than that of the baseline algorithms: traditional Ranking SVM (RSVM) and the individual doctor recommendation model (IDR-Model). The results of our RWR-Model are more reasonable and satisfactory than those of the baseline approaches.
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DOI：
10.1145/1835804.1835833
发表时间：
2010-07
期刊：
Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining
影响因子：
--
作者：
Chi Wang;Jiawei Han;Yuntao Jia;Jie Tang;Duo Zhang;Yintao Yu;Jingyi Guo
通讯作者：
Chi Wang;Jiawei Han;Yuntao Jia;Jie Tang;Duo Zhang;Yintao Yu;Jingyi Guo
影响因子：
22.7
作者：
SALTON, G;WONG, A;YANG, CS
通讯作者：
YANG, CS
DOI：
10.1145/1281192.1281247
发表时间：
2007-08
期刊：
--
影响因子：
--
作者：
David Mimno;Andrew McCallum
通讯作者：
David Mimno;Andrew McCallum
影响因子：
8.9
作者：
Tang, Jie;Fong, A. C. M.;Zhang, Jing
通讯作者：
Zhang, Jing
DOI：
10.1145/2339530.2339730
发表时间：
2012-08
期刊：
--
影响因子：
--
作者：
Jie Tang;Sen Wu;Jimeng Sun;Hang Su
通讯作者：
Jie Tang;Sen Wu;Jimeng Sun;Hang Su