关键词: 临床路径, 过程层次挖掘, 抽象具体推荐, 决策支持

Abstract: Clinical paths refer to the establishment of a standardized treatment process for a certain disease.In view of the problems that clinical paths are affected by subjective opinions of experts and difficult to reflect the individualized differences of patients,mining case data and recommending personalized clinical paths is one of the research hotspots.A process-level mining model of clinical paths was proposed,which used heuristic network mining and Louvain algorithm of community discovery to mine abstract clinical paths.To reduce the uncertainty of medicine itself,combined with the level of actual doctors diagnosis and treatment process,an abstract-concrete recommendation model of clinical path was further proposed.Based on the recommended abstract clinical path,treatment plans were recommended in stages,and finally a concrete clinical path was formed.The experimental results showed that the proposed method had certain significance in terms of effectiveness and consistency with the doctors decision-making process,and could provide doctors with reasonable decision-making support.

Key words: clinical paths, process-level mining, abstract-concrete recommendation, decision-making support