计算机应用与软件2011，Vol.28Issue(8)：123-125,180,4.
VPM:一个就医行为模式挖掘算法
VPM:A MEDICAL TREATMENT BEHAVIOUR PATTERN MINING ALGORITHM
摘要
Abstract
With regard to medical insurance fund management, problems deriving from third-party payment mechanism and imbalance of information acknowledgement are causing the plight of " immorality risk" along with the operation of the fund. Both medical agencies and patients tend to excessively exploit the medical insurance fund. Through analysis of medical treatment behaviour sequence of the insured people to mine their medical treatment behaviour pattern, it is easier to discover the regularities of diseases, the health status of the insured people, and whether there is any fraud behaviour, therefore it plays an important role in controlling that fund risk. Due to the special nature of the medical treatment behaviour pattern, there is deficiency on its result feasibility and efficiency, such as the missing of longer interval patterns in mining results and the requirement for repeatedly building shadow casting databases, etc. For traditional sequential pattern mining algorithms. Therefore their immediate application encounters barriers Aiming at the specialties of medical treatment behaviour pattern, the authors propose a novel algorithm based on binary-tree growth strategy, called Vector Pattern Mining algorithm ( VPM). Theoretical analysis and experimental results show that VPM algorithm perform well in solving the problem of medical treatment behaviour pattern mining.关键词
医保基金/风险防控/就医行为模式/序列模式/数据挖掘Key words
Medical insurance fund Risk prevention and control Medical treatment behaviour pattern Sequential pattern Data mining分类
信息技术与安全科学引用本文复制引用
周坤,王爱荣,张敬谊,熊赟,朱扬勇..VPM:一个就医行为模式挖掘算法[J].计算机应用与软件,2011,28(8):123-125,180,4.基金项目
上海市科委科研计划基金项目(08511500203) （08511500203）
上海市重点学科建设项目(B1l4). （B1l4）
