Title :
Neural network model for the prediction of the evolution of the first appearance of stenocardia
Author_Institution :
Biomed. & Semicond. Electron. Dept., Ryazan State Radioengineering Univ., Ryazan
Abstract :
The purpose of the work is development of the automatic system, allowing to construct the prognosis of current of the first time appeared stenocardia on base of the set of risk factor and to reveal patients with high risk of the myocardial infarction and sudden cardiac death.
Keywords :
biomedical measurement; cardiology; medical computing; modelling; neural nets; patient diagnosis; angina pectoris; first-time-appeared stenocardia evolution prediction; myocardial infarction; neural network model; stenocardia risk factors; sudden cardiac death; Blood pressure; Cardiology; Diseases; Legged locomotion; Medical diagnostic imaging; Myocardium; Neural networks; Pain; Predictive models; US Department of Transportation;
Conference_Titel :
Computers in Cardiology, 2008
Conference_Location :
Bologna
Print_ISBN :
978-1-4244-3706-1
DOI :
10.1109/CIC.2008.4749032
