Risk Factor Analysis Of Coronary Atherosclerotic Heart Disease Based On Weka

Objective:The purpose of this study is to understand the risk factors for coronary heart disease and discuss the main factors of coronary heart disease.Another purpose is to understand thedistribution of complications of coronary heart disease,to explore the main risk factors of coronary heart disease complications,especially heart failure.In addition,a predictive model of risk factors for coronary heart failure was established,decision tree and logistic regression performance was compared,which can improve the quality of life and survival of clinical patients.Methods:423 information on coronary heart disease patients from hospital were collected from March 2016 to March 2017.The study variables included age,sex,weight,height,smoking,alcohol,hypertension history,new cerebral infarction,cerebral infarction,diabetes,CHD,blood routine examination,blood fat,renal function,lon 1,liver function,routine urine test,part of the data of hepatitis B examination.myocardial infarction,shock,arrhythmia,cardiac failure,By using Weka 3.8 software for data analysis.descriptive statistics were used to describe the frequency and percentage of the patient's general data;The main component analysis in SPSS18.0software was used to pretreat the data and analyze the risk factors of coronary heart disease;This paper analyzed the risk factors of coronary heart failure by using classification algorithm and logistic regression in Weka3.8 software,and compares the performance of the two algorithms,to determine the evaluation and study of risk factor analysis for coronary heart disease and heart failure;The Apriori algorithm in Weka3.8 software was used to analyze the risk factors of coronary heart failure.Results:1.The situation of coronary heart disease complications The complications of coronary heart disease were studied in this paper included myocardial infarction,cardiac failure,shock,arrhythmia.The number of patients with coronary heart failure was the largest in the study.The total number of patients with coronary heart disease is 21.9.Patients with combined heart failure III-IV were 85%of the total number of patients with heart failure.This result shows that,The risk factor for the study of heart failure are necessary to improve the survival quality and survival rate of patients.Therefore,in this study,the risk factors of patients with coronary heart failure were studied through multiple research methods.2.Risk factor analysis of coronary heart disease combined with heart failure In this studay,the data of patients with coronary heart failure combined with heart failure were analyzed.Simplifying data is good for the next analysis.We get 37 properties included height,urea nitrogen,LYMPH%,PRO,TP,AST,LDL,urine GLU,HBSAN,AOSLC,HBSAY,pneumonia,SG,DBIL,IBIL,CL,GGT,EO%,RBC,PLT,new cerebral infarction,CHD,hypertension history,apo A1,MO2%,AS/AL,HDL,NIT,BASO%,BIL,KET,urine WBC,Na,Alcohol,diabetes,cerebral infarction,CHO.The data mining analysis and logistic regression analysis of decision tree were respectively carried out.The results show that infection,history of hypertension,history of cerebral infarction,abnormal blood lipids,urea nitrogen and height were associated with patients with coronary heart disease and heart failure.In this paper,the 37 properties were analyzed by the correlation rules of Apriori and the results showed that high-density lipoprotein was positively correlated with urobilirubin.3.Comparison of two research algorithms of risk factor analysis of coronary heart disease combined with heart failure This paper mainly studied the comparison between decision tree algorithm(J48was comfirmed best)and logistic regression algorithm based on Weka software tool.The result showed that the specificity of J48 algorithm was 91.49%,the sensibility was 32.98%,ROC area was 0.6689,the veracity was 78.487%,the run time was 0.02 s and the specificity of logistic regression algorithm was99%,the sensibility was 25.53%,ROC area was 0.6898,the veracity was 75.650%,the run time was 0.03.Conclusions:1.In patients with coronary heart disease,21 percent of patients with heart failure were combined.The cardiac function ?-? patients accounted for 85%.It is necessary to improve the survival quality and survival rate of patients.2.The risk factors for coronary heart failure in patients with coronary heart disease are mainly infection,history of cerebral infarction,urea nitrogen,dyslipidemia,height,hypertension.3.The decision tree algorithm(J48 algorithm)is more suitable for the detection of risk factors in patients with coronary heart failure.4.High density lipoprotein cholesterol is positively correlated with urobilirubin.