Title :
Late potential diagnosis by using self-learning expert system
Author :
Piatkowski, Adam ; Piatkowska-Janko, Ewa ; Cieciura, Marek ; Opolski, Grzegorz
Author_Institution :
Inst. of Radioelectron., Warsaw Univ. of Technol., Poland
Abstract :
The aim of our study was to build a self-learning expert system, called “EVAMAR”, aimed at helping a doctor to recognize patients with sustained ventricular tachycardia (sVT) after myocardial infarction (MI) (group 1), patients without sVT after MI (group 2), and normal subjects (group 3)
Keywords :
bioelectric potentials; cardiology; learning systems; medical diagnostic computing; medical expert systems; EVAMAR; late potential diagnosis; myocardial infarction; normal subjects; self-learning expert system; sustained ventricular tachycardia; Decision making; Diagnostic expert systems; Electrocardiography; Expert systems; Medical diagnostic imaging; Medical expert systems; Multidimensional systems; Myocardium; Probability; Reactive power;
Conference_Titel :
Computers in Cardiology 1993, Proceedings.
Conference_Location :
London
Print_ISBN :
0-8186-5470-8
DOI :
10.1109/CIC.1993.378413
