| 基于BP神经网络与决策树的大肠癌虚实证型分类对比 |
| 投稿时间：2017-04-03 点此下载全文 |
| 引用本文：李金城,从瑶,陈秋芬,等.基于BP神经网络与决策树的大肠癌虚实证型分类对比[J].医学信息学杂志,2017,38(5):61-64,84 |
| 摘要点击次数: |
| 全文下载次数: |
|
| 基金项目:广州中医药大学薪火计划资助项目（项目编号：XH20160105） |
|
| 中文摘要:采用二进制编码对症状数据进行量化，将专家归纳的8个证型分为虚实两证并赋值量化，建立基于BP神经网络与决策树的大肠癌虚实证型分类模型，结果显示BP神经网络分类模型较决策树分类模型更适合于非线性映射关系的处理。 |
| 中文关键词:大肠癌 虚实证型 BP神经网络 主成分分析 决策树 |
| |
| Comparison on Classification of Excess and Deficiency Syndromes of Colorectal Cancer Based on BP Neural Network and Decision Tree |
|
|
| Abstract:The paper quantizes symptom data through binary coding, divides 8 syndromes summed up by experts into excess and deficiency syndromes, values and quantizes them, and establishes the model for classification of excess and deficiency syndromes of colorectal cancer based on BP neural network and decision tree. The result shows that BP neural network classification model is more applicable for the handling of the nonlinear mapping relation compared with decision tree classification model. |
| keywords:Colorectal cancer Excess and deficiency syndrome BP neural network Principal component analysis Decision tree |
| 查看全文 查看/发表评论 下载PDF阅读器 |
