Heart Failure Prediction Using Machine Learning Techniques

Heart failure is a complex cardiovascular condition defined by the heart's impaired ability to pump blood efficiently, which leads to a great deal of morbidity, mortality, and health care costs internationally. Predicting and intervening in time can significantly improve patient outcomes and reduce the pressure on healthcare systems. This project focuses on building a predictive model using machine learning techniques to detect individuals that are at a higher risk of developing heart failure. In the medical field predicting the heart disease has become a very complicated and challenging task, requires patient previous health records and in some cases, they even need Genetic information as well. So, in this contemporary life style there is an urgent need of a system which will predict accurately the possibility getting heart disease. Predicting a heart failure in early stage will save many people’s Life.