摘要
目的:用关联分析的方法研究药物治疗肝硬化的效果,探讨其用药的相关性,为临床用药提供参考,同时也为药品审计提供依据。方法:利用某"三甲"医院肝硬化药物治疗的数据,按照药物效果分类,统计其使用频次,用聚类的方法找出使用频次较高药物进行汇总,选用关联规则挖掘中的Apriori算法进行分析。结果:数据分析矩阵和Apriori算法建模所得出的结果一致。结论:通过数据挖掘的方法发现药物治疗肝硬化的效果和规律,分析结果可以作为进一步调整合理用药范围的依据。
Methods： Treatment data of liver cirrhosis from a state-level medical college hospital were classified according to drug effects,and the medication frequencies were counted to find out the higher frequencies drugs with the clustering method,and then the meta-analysis data were analyzed using the Apriori association rule mining algorithm.Results： Consistent results were found in data analysis matrix and the Apriori algorithm for modeling.Conclusion： The effects and laws of treatments in liver cirrhosis were found through data mining methods,and these results could be used as a basis for further adjustments in rational use of drugs.
出处
《激光杂志》
CAS
CSCD
北大核心
2010年第5期72-74,共3页
Laser Journal
