• Gaurav Singh
• Hemlata Pant
• Pratiksha Singh
• Gaurav Kumar
• Krishn Pratap Singh

Heart-related diseases are one of the major causes of deaths across the globe. On an average, one person dies every minute across the world due to cardiovascular diseases. Prediction of heart disease is a difficult task and requires expertise. Therefore, an automated system capable of predicting heart diseases would enhance medical efficiency and reduce the overall cost of treatment. This paper aims to present the concept of the functional model of a heart disease prediction system. This system is highly efficient, built on Django platform and uses a machine learning model. It takes various medical inputs from the user and predicts whether the person has heart disease or not.

Machine Learning, Random Forest algorithm, Django, Framework, Heart Disease, Cardiovascular Disease, Cleveland Dataset, Heart Disease Prediction System

"HeartCare - A Heart Disease Prediction System based on Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 6, page no.f506-f511, June-2021, Available :http://www.jetir.org/papers/JETIR2106772.pdf

"HeartCare - A Heart Disease Prediction System based on Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 6, page no. ppf506-f511, June-2021, Available at : http://www.jetir.org/papers/JETIR2106772.pdf