基于决策树算法的小儿肺炎临床辨证分类模型研究  

Research on children pneumonia clinical syndrome classification model based on decision tree algorithm

作　　者：岳路[1] 马凌燕[1] 魏本征[1] 

机构地区：[1]山东中医药大学,山东济南250355

出　　处：《电子测试》2013年第3期243-244,共2页Electronic Test

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.

关 键 词：分类模型 决策树 小儿肺炎指纹 中医辨证 

分 类 号：R272[医药卫生—中医儿科学] TP18[医药卫生—中医学]