DocumentCode
2466819
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
fYear
1993
fDate
5-8 Sep 1993
Firstpage
425
Lastpage
426
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Computers in Cardiology 1993, Proceedings.
Conference_Location
London
Print_ISBN
0-8186-5470-8
Type
conf
DOI
10.1109/CIC.1993.378413
Filename
378413
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