系统管理学报2013，Vol.22Issue(1)：99-106,8.
基于KDD的单病种成本估计方法
Single Disease Cost Estimation Method Based on Knowledge Discovery in Databases
摘要
Abstract
Single disease cost estimation is one of the most important aspects in hospital cost control. This paper analyzes the existing problems of single disease cost estimation; considering the properties of single disease cost estimation such as multifactor and nonlinearity, it proposes a method of single disease cost estimation based on KDD (knowledge discovery in database). First, it develops a framework of KDD system dedicated to single disease cost estimation and a data warehouse model based on HIS (hospital information system). Then it proposes the model of single disease cost estimation based on data mining techniques-rough sets (RS) and support vector machines (SVM). An example of cost estimation for pure appendicitis patients is presented, and the model has achieved greater accuracy and efficiency. The result verifies the validity and superiority of the method. It provides a scientific and effective estimation method of single disease cost and improves the accuracy of hospital cost control.关键词
单病种成本/知识发现/数据挖掘/粗糙集/支持向量机Key words
single disease cost/ knowledge discovery in databases/ data mining/ rough sets/ support vector machines分类
信息技术与安全科学引用本文复制引用
徐靖,刘子先,邹刘霞,李娅访..基于KDD的单病种成本估计方法[J].系统管理学报,2013,22(1):99-106,8.基金项目
国家自然科学基金资助项目(70871086) （70871086）
