In order to improve the accuracy of hospital internal accounting control efficiency evaluation,an efficiency evaluation index system of hospital internal accounting control is established from five aspects,accounting control of money income and expenditure,accounting control of purchase and payment,accounting control of engineering project,accounting control of real assets,and accounting control of cost.The selection of decision tree number N and candidate split attribute number M has an important effect on the performance of random forest(RF)model.A method of hospital internal accounting control efficiency evaluation based on grey wolf optimization(GWO)algorithm is proposed to optimize the parameters of RF model.Compared with DE-RF,PSO-RF,GA-RF and RF,the GWO-RF model has the best effect in hospital internal accounting control efficien-cy evaluation,which provides a new method for hospital internal accounting control efficiency evaluation.
关键词
随机森林/灰狼优化算法/会计控制效率/医院财务管理
Key words
random forest/grey wolf optimization algorithm/accounting control efficiency/hospital financial management
维普
万方数据