Researching Machine Learning Methods for Preventing Cardiovascular Diseases

Abstract

In this article, a review of existing methods for developing a model for the prevention of cardiovascular diseases was carried out, their advantages and disadvantages were identified. Mortality and morbidity from heart disease has been leading in recent decades throughout the world. The use of various machine learning algorithms, including deep learning algorithms, significantly improves the accuracy of predicting cardiovascular risks of trained models. Using the data obtained, we created a model with which we can identify a group of people who are more at risk of heart disease.