Comparison on Classification of Excess and Deficiency Syndromes of Colorectal Cancer Based on BP Neural Network and Decision Tree
10.3969/j.issn.1673-6036.2017.05.014
- VernacularTitle:基于BP神经网络与决策树的大肠癌虚实证型分类对比
- Author:
Jincheng LI
;
Yao CONG
;
Qiufen CHEN
;
Chunyi CHEN
;
Xiufeng LIU
- Keywords:
Colorectal cancer;
Excess and deficiency syndrome;
BP neural network;
Principal component analysis;
Decision tree
- From:
Journal of Medical Informatics
2017;38(5):61-64,84
- CountryChina
- Language:Chinese
-
Abstract:
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.
