City migrant workers, as one part of the city＇s development, economic development and other aspects of urban to make a great contribution, but the delay with the local residents do not enjoy the same level of medical...City migrant workers, as one part of the city＇s development, economic development and other aspects of urban to make a great contribution, but the delay with the local residents do not enjoy the same level of medical care treatment is always blocked in outside the city＇s health care system, have less relevant departments, there is no practical system introduced regulations and policies, these things tell us to pay attention to the people, and the introduction of appropriate medical insurance of migrant workers possibly things, and timely medical security system of such groups and the local people medical protection for long support. Make medical insurance system can cities try it＇s best to help foreign workers Medicare, Medicare for the development of China has made a modest contribution.展开更多
In this paper, we try to systematically study how to perform doctor recommendation in medical social net- works （MSNs）. Specifically, employing a real-world medical dataset as the source in our work, we propose iBol...In this paper, we try to systematically study how to perform doctor recommendation in medical social net- works （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 RWR- Model, 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.展开更多
文摘City migrant workers, as one part of the city＇s development, economic development and other aspects of urban to make a great contribution, but the delay with the local residents do not enjoy the same level of medical care treatment is always blocked in outside the city＇s health care system, have less relevant departments, there is no practical system introduced regulations and policies, these things tell us to pay attention to the people, and the introduction of appropriate medical insurance of migrant workers possibly things, and timely medical security system of such groups and the local people medical protection for long support. Make medical insurance system can cities try it＇s best to help foreign workers Medicare, Medicare for the development of China has made a modest contribution.
基金the the National High Technology Research and Development 863 Program of China under Grant No. 2015AA124102, the Hebei Natural Science Foundation of China under Grant No. F2015203280, and the National Natural Science Foundation of China under Grant Nos. 61303130, 61272466, and 61303233.
文摘In this paper, we try to systematically study how to perform doctor recommendation in medical social net- works （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 RWR- Model, 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.
