摘要
决策树算法是一种分类模型,在医学上常用于辅助诊断和辅助治疗,本文详细阐述了决策树算法在小儿肺炎中医辨证中的应用,构建出一种小儿肺炎分类模型,该模型对小儿肺炎辩证分类的准确率达到80%,可以应用于临床辅助诊断。
the decision tree algorithm is a classification model, in the medicine commonly used in diagnosis and treatment, this paper describes in detail the application of decision tree algorithm in TCM syndrome differentiation of children pneumonia, construct a classification model of pneumonia in children, the accuracy rate of the model of infantile pneumonia dialectical classification reached 80%, can be used in clinical diagnosis.
出处
《电子测试》
2013年第3期243-244,共2页
Electronic Test
关键词
分类模型
决策树
小儿肺炎指纹
中医辨证
classification model
decision tree
children pneumonia fingerprint
TCM syndrome differentiation
