Research on Data Classification of Hospital Information System by Combining Improved PSO and Fuzzy Decision Tree
The use of the medical system is increasing day by day,and leads to the increase of relevant medical data in the medical sys-tem.This research optimizes the fuzzy ID3 algorithm and improves the particle swarm algorithm,and uses the improved particle swarm algorithm to enhance the function of fuzzy decision tree.According to the experimental results that the test accuracy rates of the IPSO-FDT algorithm proposed in this study in the Pima Indians diabetes,Wisconsin breast cancer and Parkinson's disease dataset are 97.9％,89.5％and 81.8％.The generalization ability values of the spanning tree are 1.003,1.034,1.026,which are significantly higher than the comparison model.The experimental data proves that the design combined with improved PSO and fuzzy decision tree has certain applicability in the field of hospital information system data classification.
万方数据
维普
