MYOCARDIAL INFARCTION DETECTION USING INTELLIGENT ALGORITHMS

V. Seenivasagam ； R. Chitra

《Neural Network World》 26卷1期 (2016/02) Pp. 91-110

https://doi.org/10.14311/NNW.2016.26.005

摘要

Myocardial Infarction (MI) also known as heart attack is one of the most dangerous cardiovascular diseases. Accurate early prediction can effectively reduce the mortality rate caused by MI. The early stages of MI may only have subtle indications which can be varied in variable risk factors and making diagnosis diff- cult even for experienced cardiologists. In this paper the computer aided detection system is proposed to find the risk level of MI using the supervised classifier. The MI prediction system is developed using Feed Forward Neural Network (FFNN), Cascade Correlation Neural Network (CNN), and Support Vector Machine (SVM). Genetic Optimized Neural Network (GAANN), Particle Swarm Optimized Neural Network (PSONN) and also the performance of the Computer Aided Detection system is analyzed using various performance metrics.

關鍵字

intelligent algorithms ； risk factors ； myocardial infarction ； feed forward neural network ； computer aided detection