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...

Full description

Bibliographic Details
Main Authors: KRYSTYNA STANISZ-WALLIS, ANDRZEJ IZWORSKI, ALDONA DEMBIŃSKA-KIEĆ, RYSZARD TADEUSIEWICZ, TOMASZ LECH
Format: Article
Language:English
Published: Gdańsk University of Technology 2004-04-01
Series:TASK Quarterly
Subjects:
Online Access:https://journal.mostwiedzy.pl/TASKQuarterly/article/view/2513