Heart Disease Diagnosis Using Machine Learning Classifiers

The term “heart or cardiovascular disease” is frequently used to refer to a variety of heart-related issues. It is one of the illnesses with the highest mortality rate. Its fatality rate results in nearly 17 million deaths worldwide. Given the daily increase in heart disease cases, predicting any disease early is critical and concerning. Early detection of heart disease is a difficult task that must be accomplished carefully and effectively by gathering precise information about the patient who is at risk for heart disease. To predict whether a person has cardiac disease, there are numerous AI-based (Machine/Deep learning) Models available considering medical characteristics (features) of heart disease. By comparing and contrasting several machine learning classifiers, this paper proposed a heart disease prediction system. This system will aid in identifying and predicting whether the patient is likely to have or be diagnosed with heart disease based on his or her current medical state.