Comparison on Classification of Excess and Deficiency Syndromes of Colorectal Cancer Based on BP Neural Network and Decision Tree / 医学信息学杂志

The paper quantizes symptom data through binary coding,divides 8 syndromes summed up by experts into excess and de-ficiency syndromes,values and quantizes them,and establishes the model for classification of excess and deficiency syndromes of colorec-tal cancer based on BP neural network and decision tree.The result shows that BP neural network classification model is more applicablefor the handling of the nonlinear mapping relation compared with decision tree classification model.