摘要
目的:针对可扩展标记语言(XML)标准弹性结构电子病历信息,探讨适合的数据分析与统计方法,寻找病历信息内在共性和演变规律,以提供医学临床与管理辅助决策。方法:先对基于XML标准的弹性结构电子病历(FS-EMR)所采集数据进行预处理,然后针对数据特点和分析目的,采用美国微软公司(MS)SQL(结构查询语言)Server的AnalysisServices和SQL,组织事务数据集,通过挖掘分析前者所获的数据集,并通过统计分析系统处理后者所获的数据集。结果:FS-EMR采集的临床数据可通过多维数据集建立决策树及其多因素关系图展示因素间相互关系;也可通过统计方法分析治疗前后变化。
The methods of data analysis and statistics concerning the electronic medical records with flexible structure based on XML （eXtensible Markup Language） were developed in this work for better clinical administration and decision making. The data collected from records in clinical practice of Chinese Medicine was pre-processed. Focusing on both their features and the analysis aim, the transaction data sets were set up with Analysis Services （AS） of the SQL （Structured Query Language） Server or SQL. The set coming from AS was analyzed by a mining analysis model being established, and another set coming from SQL was processed in a statistical analysis system. A multi-factor diagram and a decision tree were established based on the multi-dimensional data set, showing an interrelationship between the factors of the clinical data collected by the FS-EMR. This statistical method may help to analyze the symptom change before and after treatments.
出处
《世界科学技术-中医药现代化》
2010年第1期28-32,共5页
Modernization of Traditional Chinese Medicine and Materia Medica-World Science and Technology
基金
广东省科技厅和广东省东莞市政府广东省教育部产学研合作计划(粤产学研办字〔2006〕3号,东府办复〔2007〕32号):共建中医药产业创新平台,负责(人):广州中医药大学
关键词
数据分析统计
多维数据集
数据挖掘
弹性结构电子病历
XML
Data analysis and statistics
Multi-dimensional data sets
Data mining
Flexible structured electronic medical records
EMR
XML
