Heart Problem Prediction Using Machine Learning Technique

In our daily life, we can see the cases of heart problems increasing day by day. It is very important to predict serious diseases in early stages, as early as possible, so that we can save the life of the person involved in that disease. It is also realized that it is a difficult task to catch this disease in the early stage or cure it in the early stage because more accuracy and precision is required for that, so that we can catch the exact problem. Heart disease cases are increasing day by day. Once in a month or sometime twice or thrice in a month, we hear that one person dies because of a heart attack. As per WHO, about 18 million people die every year because of heart disease, which is a very large number, and a serious problem. With such diseases, our population is also increasing day by day and it also becomes a problem to check every person and catch disease easily. So, we have to improve technology, which diagnoses the disease in the initial stage. These days, many people are consuming fast foods and street foods. These things also come under reason to increase disease or also heart disease because many factors are responsible for heart disease like blood pressure problem, diabetes, cholesterol etc. If these diseases are controlled, then heart disease can also be controlled. So, we should focus on each factor—from medical treatment to eating hygienic food. This chapter is based on heart disease prediction, so that we can detect it in the early stage by using machine learning and its algorithms. We have taken online data, which has 14 features and 304 instances. Firstly, we analyze and then try to predict heart disease. We have used 4 algorithms to predict it.