Introduction:

The heart is a muscular organ in most animals, which pumps blood through the blood vessels of the circulatory system. The pumped blood carries oxygen and nutrients to the body, while carrying metabolic waste such as carbon dioxide to the lungs. In humans, the heart is approximately the size of a closed fist and is located between the lungs, in the middle compartment of the chest.

Heart failure is a chronic, progressive condition in which the heart muscle is unable to pump enough blood to meet the body's needs for blood and oxygen. Most heart failure diseases can be prevented by addressing behavioral risk factors such as tobacco use, unhealthy diet and obesity, physical inactivity and harmful use of alcohol using population-wide strategies.

Mission Of Project

In the project we predicting heart disease status based on the clinical data of patients .we can taken dataset from Kaggle site in dataset there are thirteen important clinical features such as age, .used. We used different machine learning model to predicting the patient status and compare which model gives more accurate result.

Also, we analyze awareness of heart failure disease in people. We collect the data from Google questionnaire form.