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Ji-Bing Gong, Li-Li Wang, Sheng-Tao Sun, Si-Wei Peng. 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. DOI: 10.1007/s11390-015-1583-5
Citation: Ji-Bing Gong, Li-Li Wang, Sheng-Tao Sun, Si-Wei Peng. 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. DOI: 10.1007/s11390-015-1583-5

iBole: A Hybrid Multi-Layer Architecture for Doctor Recommendation in Medical Social Networks

  • 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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