PREDICTION OF CARDIOVASCULAR ILLNESS WITH MACHINE LEARNING

Abstract

Cardiovascular disease has recently emerged as a significant health risk for people. The term "cardiovascular disease" refers to a broad variety of illnesses that affect the heart and blood arteries. It is been rising daily as a result of inherited and lifestyle factors. Cardiovascular disease is been caused by physical inactivity, unhealthy diet, tobacco use and harmful use of alcohol. One of the largest cardiovascular disease burdens is seen in India. The age-standardized cardiovascular disease death rate of 272 per 100000 population in India is higher than the global average of 235per 100000 population.
As the reason due to the patient’s unhealthy symptom’s doctors will ask to go through the basic tests as ECG, X-ray and some other tests and then on the basis of the reports, conclusions about the diseases will be made. At some sort of time patients will be at very weak condition of their health and wait for the treatments to be done. To avoid all such process through the help of machine learning application a lot of time and treatments can also be done as early as possible. Due to a number of risk factors, such as high blood pressure, excessive cholesterol, and an irregular heart rate, it is difficult to diagnose. By using machine learning it collects the required data from the patient and measures whether that patient is having the disease related to cardiovascular or some other diseases. So that the patient can save up the time, test and expenses.