摘要
目前中医学上对大肠癌辨证分型并没有一个统一的、客观的标准,随着大肠癌发病率的提升,大肠癌证型分类研究愈发显得重要。参考《中医症状鉴别诊断学》等书以及咨询专家,对搜集的文献数据与临床数据进行辩证归类和赋值量化,建立基于神经网络的大肠癌分类模型,将机器学习与中医结合起来,实现中医信息化、规范化。
At present, there is no uniform and objective standard of classification of colorectal cancer. With the improvement of colorectal cancer incidence, colorectal cancer syndrome classification research becomes more and more important. The data collected from the literature and clinical data are dialectically classified and quantified by referring to differential diagnosis of syndromes and consulting for experts. Establishes the classification model of colorectal cancer based on neural network. The machine learning and traditional Chinese medicine are combined with traditional Chinese medicine to achieve Chinese medicine information and standardization.
出处
《现代计算机》
2017年第16期16-18,共3页
Modern Computer
基金
广州中医药大学薪火计划资助项目(No.XH20160105)
关键词
神经网络
大肠癌
分类器
Neural Network
Colorectal Cancer
Classifier
