Multivariate analysis of risk of coronary heart disease in Evans County, Georgia

1971 ◽  
Vol 128 (6) ◽  
pp. 943-948 ◽  
Author(s):  
D. G. Kleinbaum
Keyword(s):  
Coronary Heart Disease ◽  
Multivariate Analysis ◽  
Heart Disease

scholarly journals Multivariate Analysis of Risk Factors for Coronary Heart Disease

Circulation ◽  
1973 ◽  
Vol 48 (5) ◽  
pp. 950-958 ◽  
Author(s):  
LARS WILHELMSEN ◽  
HANS WEDEL ◽  
GÖSTA TIBBLIN
Keyword(s):  
Risk Factors ◽  
Coronary Heart Disease ◽  
Multivariate Analysis ◽  
Heart Disease

scholarly journals Hybrid System of Tiered Multivariate Analysis and Artificial Neural Network for Coronary Heart Disease Diagnosis

2017 ◽  
Vol 7 (2) ◽  
pp. 1023 ◽  
Author(s):  
Wiharto Wiharto ◽  
Hari Kusnanto ◽  
Herianto Herianto
Keyword(s):  
Neural Network ◽  
Coronary Heart Disease ◽  
Feature Selection ◽  
Multivariate Analysis ◽  
Heart Disease ◽  
System Performance ◽  
Selection Process ◽  
Disease Diagnosis ◽  
Features Selection ◽  
Diagnosis System

<span lang="EN-US">Improved system performance diagnosis of coronary heart disease becomes an important topic in research for several decades. One improvement would be done by features selection, so only the attributes that influence is used in the diagnosis system using data mining algorithms. Unfortunately, the most feature selection is done with the assumption has provided all the necessary attributes, regardless of the stage of obtaining the attribute, and cost required. This research proposes a hybrid model system</span><span> for</span><span lang="EN-US"> diagnosis of coronary heart disease. System diagnosis preceded the feature selection process, using tiered multivariate analysis. The analytical method used is logistic regression. The next stage, the classification by using multi-layer perceptron neural network. Based on test results, system performance proposed value</span><span> for</span><span lang="EN-US"> accuracy 86.3%, sensitivity 84.80%, specificity 88.20%, positive prediction value (PPV) 90.03%, negative prediction value (NPV) 81.80%</span><span>, accuracy 86,30% </span><span lang="EN-US"> and area under the curve (AUC) of 92.1%. The performance of a diagnosis using a combination attributes of risk factors,</span><span lang="EN-US">symptoms and exercise ECG. The conclusion that can be drawn</span><span> is</span><span lang="EN-US"> that the proposed diagnosis system capable of delivering performance in the </span><span>very good</span><span lang="EN-US"> category, with a number of attributes that are not a lot of checks and a relatively low cost</span><span>.</span>

A multivariate analysis of the risk of coronary heart disease in Framingham

1967 ◽  
Vol 20 (7) ◽  
pp. 511-524 ◽  
Author(s):  
Jeanne Truett ◽  
Jerome Cornfield ◽  
William Kannel
Keyword(s):  
Coronary Heart Disease ◽  
Multivariate Analysis ◽  
Heart Disease

scholarly journals Multivariate analysis of angiographic, histologic, and electrocardiographic data in patients with coronary heart disease.

Circulation ◽  
1984 ◽  
Vol 70 (1) ◽  
pp. 7-17 ◽  
Author(s):  
W Flameng ◽  
L Wouters ◽  
P Sergeant ◽  
P Lewi ◽  
M Borgers ◽  
...  
Keyword(s):  
Coronary Heart Disease ◽  
Multivariate Analysis ◽  
Heart Disease
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