Machine learning based Heart Disease Detection System

From the early days of humanity to today heart diseases take an important place in people's life. The main reason is Heart disease is one of the leading cause of death in the world. The term “heart disease” refers to several types of heart conditions and it is caused by multiple factors ranging from consumption and daily life style. Since the medical industry began to develop, doctors can detect and cure this diseases more efficiently with the improvement of the technology. In this paper, it is aimed to analyze the relationship between consumed products, our genetic, physical, mental attributes and heart disease and make a model that predicts people have heart disease or not with the help of machine learning and data science. According to experimental results, the proposed approach reached about 95.8 % accuracy for the detection of heart diseases depending on the personal key indicators.