决策树模型是一种有监督的机器学习方法,分类规则通常采取IF-THEN形式,分析结果常以树形图呈现,具有可解释性强、易于理解的优势,在灾害预测、环境监测、临床诊疗决策等领域均有广泛的应用.本文从决策树模型概念入手,介绍了决策树模型的一般构建步骤、分类与回归树(classification and regression tree,CART)决策树模型在临床研究数据分析中的应用,并应用SPSS软件示例CART决策树模型的构建过程和实现方法,以期为临床研究者采用决策树模型进行数据分析提供参考.
Abstract
Decision tree model is a supervised machine learning method and its classification rules usually take the form of IF-THEN,the analysis results are often presented in the form of tree diagrams,with the advantages of solid interpretability and ease understanding,and it has been widely used in the fields of disaster prediction,environmental monitoring,clinical diagnosis and treatment decision-making.This article starts from the concept of decision tree model,introduces the general construction steps of decision tree model,the application of classification and regression tree(CART)decision tree model in the analysis of clinical research data,and the construction process and realization method of CART decision tree model using the SPSS software example,so as to provide a better solution for clinical researchers to use decision tree model for data analysis.
维普
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