Predicting Heart Disease Through the Application of Machine Learning Techniques Using the Python

Abstract

This paper is mainly about using machine learning methods to predict cardiovascular disease. Because cardiovascular disease now ranks first in mortality and the methods and costs of curing heart disease are very small and expensive, so why not take a step earlier? As for discovering diseases, there are not many projects that use machines to predict diseases, and it costs a lot of money to predict diseases in hospitals. Using machines can be faster and more accurate. Another point is that society has entered the era of artificial intelligence, and the medical industry It should also usher in an improvement and should keep pace with other industries, so I want people to experience predicting diseases, such as performing cardio-tracheal examinations faster and more accurately with less money. This helps a lot of families save a lot of money and get the same services as a hospital, which is not a good thing and that's why I did this research.