目的搭建基于循证医学理念的病友网络,帮助患者获取证据,促进患者参与循证实践,增进患者间的沟通互动。方法综合分析各类主流的循证网络资源Best Practice、Dyna Med Plus、Up To Date、Trip Database、Cochrane Library、NICE、NGC,探...目的搭建基于循证医学理念的病友网络,帮助患者获取证据,促进患者参与循证实践,增进患者间的沟通互动。方法综合分析各类主流的循证网络资源Best Practice、Dyna Med Plus、Up To Date、Trip Database、Cochrane Library、NICE、NGC,探讨其证据呈递形式。结合患者认知能力和信息需求,设计病友网络的证据查询和患者在线社区等功能模块。基于当前成熟的Web系统开发技术实现网络。结果本研究提出了将循证医学理念应用于病友网络的构想,设计了以患者为中心的证据呈递形式和患者沟通工具,开发了由循证医学、医疗查证、病友社区和健康管理4个功能模块组成的病友网络系统。结论基于循证医学理念的病友网络有利于拓展患者的循证知识,帮助患者快速获取高质量的干预措施证据,社交功能有助于增进人文关怀,患者健康数据的收集为开展患者报告结局的研究提供了基础。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
文摘目的搭建基于循证医学理念的病友网络,帮助患者获取证据,促进患者参与循证实践,增进患者间的沟通互动。方法综合分析各类主流的循证网络资源Best Practice、Dyna Med Plus、Up To Date、Trip Database、Cochrane Library、NICE、NGC,探讨其证据呈递形式。结合患者认知能力和信息需求,设计病友网络的证据查询和患者在线社区等功能模块。基于当前成熟的Web系统开发技术实现网络。结果本研究提出了将循证医学理念应用于病友网络的构想,设计了以患者为中心的证据呈递形式和患者沟通工具,开发了由循证医学、医疗查证、病友社区和健康管理4个功能模块组成的病友网络系统。结论基于循证医学理念的病友网络有利于拓展患者的循证知识,帮助患者快速获取高质量的干预措施证据,社交功能有助于增进人文关怀,患者健康数据的收集为开展患者报告结局的研究提供了基础。
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.
