Heart Disease Prediction and Analysis using PCO, LBP and Neural Networks

Many diseases have been invited to human body due to the changes that occur in lifestyle. In Asian subcontinent as report of WHO the main cause of death is due to heart or cardiovascular disease. The primary requirement of the system is to reduce the symptoms dataset since there are many symptoms that leads to heart disease so that can take easy decision and treat clinically. In this paper many kinds of heart disease and symptoms responsible for that were discussed. In this paper initially heart local binary pattern and PCA have been used along with artificial neural network for heart disease prediction. Where LBP and PCA are for feature extraction and feature set size reduction and neural network for classification and verifying accuracy of the system. The complete prediction system have been developed with Matlab tool and predicts almost 95% of heart problems.