ASSESSMENT OF DIAGNOSTIC FEATURES IN THE CORONARY ARTERY DISEASE (CAD) BY APPLICATION OF STATISTICAL METHODS AND NEURAL NETWORKS
The present work is aimed at comparing the effectiveness of two different methods of risk factor assessment used for prediction of the CAD (coronary artery disease): the logistic regression method and the application of artificial neural networks. The former is widely used in medical research, whil...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
Gdańsk University of Technology
2004-04-01
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Series: | TASK Quarterly |
Subjects: | |
Online Access: | https://journal.mostwiedzy.pl/TASKQuarterly/article/view/2513 |