Publication

Abstract : Heart disease is the primary cause of death among people in industrialized nations. The most important risk factors are widely understood. For example, the risk of CHD grows rapidly with age, and men are more likely than women to be infected. Smoking, obesity, high blood pressure, and problems of the fat and sugar metabolism are all preventable risk factors for CHD in both men and women. The principal component analysis network approach is utilized in early diagnosis to assess a person’s cardiac risk. The focus of this chapter is to include the body mass index approach into the self-organizing map for determining cardiac risk. The dataset’s obesity, blood pressure, and blood glucose are all evaluated using BMI. Obesity, blood pressure, and blood glucose levels all ring correctly (95%) in the ECG signal for detecting cardiac risk.