Construction of Hospital Construction Cost Prediction System Based on Adaboost Algorithm
The establishment of hospital construction cost prediction system can improve the accurate prediction ability of hospi-tal construction cost,provide scientific basis for the planning and budgeting of medical institutions,effectively manage re-sources,and ensure the efficient construction of medical infrastructure.In order to solve the problem of low prediction accuracy in the current study,a program for the construction of hospital construction cost prediction system based on Adaboost algo-rithm is proposed.The simulation experiment results show that the algorithm has an AUC value of 95％for the comprehensive index of prediction accuracy in the collected experimental dataset,which is better than several baseline models such as SVM,MLP,decision tree,BP neural network,PSO,and so on.The online system will provide strong support for hospital infra-structure and financial management.
Adaboosthospital construction cost predictionhospital infrastructure managementintegrated learning
万方数据
维普
