VTE Diagnosis and Treatment Assistant System Based on Improved Deep Learning
In order to improve the assistant effect of deep belief network(DBN)in VTE diagnosis and treatment,the butterfly optimization algorithm(BOA)is introduced into the parameter optimization of DBN,a VTE diagnosis and treatment assistant system based on BOA-DBN is proposed.In view of the influence of the parameter setting on the performance of DBN,the BOA is applied to the parameter optimization of DBN and the VTE diagnosis and treatment assistant system.In order to verify the superiority of the proposed model,it is compared with FA-DBN,PSO-DBN and GA-DBN.The results show that the VTE di-agnosis and treatment assistant effect of the proposed model is the best,which has certain practical significance for the improve-ment of VTE diagnosis and treatment assistant performance.
deep belief networkbutterfly optimization algorithmvenous thromboembolismdiagnosis and treatment assis-tance
万方数据
维普
