Hybrid Model using Machine Learning Algorithms for Heart Failure Prediction

This model uses Python programming and machine learning algorithms to assess the detection of heart disease. The accumulation of fat has made heart disease more common and fatal in recent years. This illness is brought on by the body’s extreme pressure. Several dataset factors allow us to forecast the cardiac illness. We have seen a dataset with several parameters of individual data values that is used to analyze patient performance. This model is a hybrid model that we built by combining other models to predict cardiac illness. The study’s main objective is to increase the detection accuracy of heart disease by using a variety of algorithms to assess if a patient is at risk for the illness or not.