基于决策树算法的小儿肺炎临床辨证分类模型研究
기우결책수산법적소인폐염림상변증분류모형연구
Research on children pneumonia clinical syndrome classification model based on decision tree algorithm
  • 万方数据
    电子测试 전자측시
    ELECTRONIC TEST
    2013年 5期 243-244 ,共2页

    岳路%马凌燕%魏本征

    악로%마릉연%위본정

    分类模型%决策树%小儿肺炎指纹%中医辨证 分類模型%決策樹%小兒肺炎指紋%中醫辨證
    분류모형%결책수%소인폐염지문%중의변증
    classification model%decision tree%children pneumonia fingerprint%TCM syndrome differentiation
    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.
    결책수산법시일충분류모형,재의학상상용우보조진단화보조치료,본문상세천술료결책수산법재소인폐염중의변증중적응용,구건출일충소인폐염분류모형,해모형대소인폐염변증분류적준학솔체도80%,가이응용우림상보조진단.
    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.
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