Comparing the performance of data mining algorithms in predicting Coronary Artery diseases
JHBI-Journal of Health and Biomedical informatics. 2018; 5 (2): 252-264
Dans Anglais, Persan
| IMEMR
| ID: emr-206628
ABSTRACT
Introduction:
Cardiovascular diseases are the first leading cause of death worldwide. World health organization has estimated that the morality rate due to heart diseases will mount to 23 million cases by 2030. Hence, the use of data mining algorithms will be useful in predicting coronary artery disease. The objective of the present study was to compare the accuracy of the CAD predictions made by ANN and SVM techniques
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Indice:
Méditerranée orientale
langue:
Anglais
/
Persan
Texte intégral:
J.Health biomed.info
Année:
2018
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