基于决策树算法的心脏病发病预警模型研究  

Research on Early Warning Model of Heart Disease Based on Decision Tree

作　　者：叶苏婷 潘媛媛 毕迎春 YE Su-ting;PAN Yuan-yuan;BI Yin-chun(School of Medical Information,Wannan Medical College,Wuhu 241002,China;Research Center for Health Big Data Mining and Applications,Wannan Medical College,Wuhu 241002,China)

机构地区：[1]皖南医学院医学信息学院,安徽芜湖241002 [2]皖南医学院健康大数据挖掘与应用研究中心,安徽芜湖241002

出　　处：《电脑知识与技术》2020年第19期187-189,共3页Computer Knowledge and Technology

基　　金：皖南医学院大学生科研资助金项目:基于机器学习的心脏病发病预警模型研究(项目编号:WK2019S51);皖南医学院校级教学研究项目:大数据背景下医学数据挖掘课程实践教学研究(项目编号:2018jyxm10)。

摘　　要：【目的/意义】旨在利用机器学习中决策树算法,构建心脏病预警模型,为临床医生及患者提供心脏病预警,反映患者心脏病发病情况。【方法/过程】以python为语言基础,运用机器学习中决策树所涵盖的算法理论对心脏病数据集建立预警模型,并构建用户程序界面。【结果/结论】根据实验结果,决策树算法预测准确率相对较理想,能够较为准确的反应患者的患病情况,可为患者提供心脏病发病预警信息以及协助临床医生进行诊疗。[Purpose/significance]The aim is to construct a heart disease early warning model by using the decision tree algorithm in machine learning to provide early warning of heart disease for clinicians and patients and to reflect the incidence of heart disease.[Method/process]Based on the python language,the early warning model of heart disease data set is established by using the algorithm theory covered by decision tree in machine learning,and the user program interface is constructed.[Results/conclusion]According to the experimental results,the prediction accuracy of decision tree algorithm is relatively ideal,which can accurately respond to the patient's illness,provide early warning information for patients with heart disease and assist clinicians in diagnosis and treatment.

关 键 词：心脏病发病预警 机器学习 决策树 

分 类 号：TP311.1[自动化与计算机技术—计算机软件与理论]