基于文本挖掘和医患互动论坛的深静脉血栓防治规律研究

Research on the Law of Prevention of Deep Vein Thrombosis(DVT) Based on Text Mining and Doctor-Patient Interaction Forum

基于"好大夫在线"、"寻医问药"和"有问必答"的医患互动论坛,利用中文分词、数据清洗过滤、词频统计、语义网络图、可视化等文本挖掘技术或方法,提取和归纳深静脉血栓的症状、病因、常用药、并发症、非药物治疗、护理方法等知识,验证文本挖掘方法在探索疾病防治规律方面的可用性,以及医患互动问答网络数据源用于医学研究的可行性。

Based on the doctor-patient interaction forum of ＂Haodaifu Online＂,＂Xunyiwenyao＂ and ＂Youwenbida＂,taking advantage of the text mining technologies and methods such as Chinese word segmentation,data cleaning and filtering,word frequency statistics,semantic network map and visualization,extract and summarize the symptoms,causes,common drugs,complications,non-drug therapy and nursing method of Deep Vein Thrombosis （DVT）,the paper verifies the availability of text mining method in exploring the prevention law and method of diseases and the feasibility of application of doctor-patient interaction Q＆amp;A network data source in medical research.