面向临床路径的病案首页数据挖掘分析  

Data Mining Analysis for the Clinical Pathway of Medical Records First Page Information

作　　者：王春容[1] 曾宇平[2] 刘元铃[3] 刘伟萍[1] 方鸣[1] 

机构地区：[1]广州中医药大学第一附属医院,广州510405 [2]广东省中医院,广州510405 [3]广东省妇幼保健院,广州511400

出　　处：《医学信息学杂志》2016年第3期53-57,共5页Journal of Medical Informatics

摘　　要：通过研究病案首页统计信息中各项研究变量的分布规律与特点,探讨各研究变量对是否将病历纳入临床路径的贡献。介绍数据来源和预处理过程,阐述研究方法的选择和并具体分析挖掘过程。建立研究变量Logstic回归方程,找出纳入临床路径概率高的病历特征。By studying the distribution rules and characteristics of research variables in statistical information on first pages of medical records,the paper discusses the contribution of each research variable to solving the problem whether medical records should be included in clinical pathways.It introduces data sources and the preprocessing process and explains the selection of research method and specific process of data analysis and mining.Then,it constructs the Logstic regression equation of research variables and finds out features of medical records which have a high probability to be included in clinical pathways.

关 键 词：临床路径 病案首页 数据分析 数据挖掘 

分 类 号：R197.323[医药卫生—卫生事业管理]