基于BP神经网络的医院财务管理算法研究与设计  

Research and Design of Hospital Financial Management Algorithm Based on BP Neural Network

作　　者：马宇霆 MA Yuting(Registration Fee Office,The First Affiliated Hospital of Hebei North University,Zhangjiakou 075000,China)

机构地区：[1]河北北方学院附属第一医院,挂号收费处,河北张家口075000

出　　处：《微型电脑应用》2023年第11期39-42,共4页Microcomputer Applications

基　　金：张家口市2022年度社会科学研究课题(2022053)。

摘　　要：在分析智能化财务管理概念的基础上,提出基于BP神经网络的智能化医院财务管理算法。利用我国北方某医院6个等级的财务数据集进行实验,在实验结果中评估财务风险的回归模型的系数是0.993 51,结果证明了利用BP神经网络进行医院财务内控管理的有效性,可以为医院财务管理的发展提供有力推动。Based on the analysis of the concept of intelligent financial management,an intelligent hospital financial management algorithm based on BP neural network is proposed.The financial data set of 6 levels of a hospital in the north of China is used for experiment,and in the experimental results,the coefficient is 0.99351 of the regression model for assessing financial risk,which proves the effectiveness of using BP neural network for hospital financial internal control management,and provides a strong impetus for the development of hospital financial management.

关 键 词：医院 信息技术 财务内控管理 BP神经网络 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]