Heart attack prediction using machine learning

Abstract

Now a days, Heart attack is the first leading cause death worldwide. Most of the people are addicted to smoke which leads them to cardiovascular diseases (CVD). Keeping in view the current situation, an application is developed to predict the heart attack ratio using Machine Learning. By using this application user can easily check up their health status. However, to achieve maximum accuracy an ML model is trained over a cardiovascular disease dataset comprise of 70 thousand people data. Moreover, due to fear of travelling and having difficulty in finding a reliable and experienced doctor, this application eases up your way on finding a doctor and book an appointment from your home or workplace. i