现代科学仪器2023，Vol.40Issue(6)：241-246,6.
基于K-means决策树融合算法的医院财务共享中心管理策略研究
Research on management strategy of Hospital Financial Sharing Center Based on K-means decision tree fusion algorithm
李垚 1杨蕊 1何宝林 1李国忠1
作者信息
- 1. 昆明市第三人民医院,云南昆明 650041
- 折叠
摘要
Abstract
Since the recent revolution in artificial intelligence technology,intelligent computer technology has been widely applied in various industries.In the field of hospital financial management,a financial sharing center based on intelligent computer technology can significantly improve the efficiency of hospital financial management and reduce decision-making errors.This research has built a performance evaluation optimization and violation prediction model integrating K-means and C4.5 decision tree algorithm.Taking a financial sharing center of a hospital as an example,it has built an operation management optimization model of financial sharing center based on Big data intelligence.The test results show that the hospital personnel evaluation model proposed in this study based on the improved K-means decision tree algorithm has the largest contour coefficient of 0.743 compared to the K-means++and classic K-means performance evaluation models.It can be seen that the clustering effect of this model is the best,and the violation operation prediction model constructed based on C4.5 decision tree also has good prediction and classification performance.关键词
K-means/C4.5决策树/财务共享中心/管理策略Key words
k-means/C4.5 decision tree/Financial Sharing Center/Management strategy引用本文复制引用
李垚,杨蕊,何宝林,李国忠..基于K-means决策树融合算法的医院财务共享中心管理策略研究[J].现代科学仪器,2023,40(6):241-246,6.
