Heart disease, alternatively known as cardiovascular disease, encases various conditions
that impact the heart and is the primary basis of death worldwide over the span of the past
few decades. It associates many risk factors in heart disease and a need of the time to get
accurate, reliable, and sensible approaches to make an early diagnosis to achieve prompt
management of the disease. Data mining is a commonly used technique for processing
enormous data in the healthcare domain. Researchers apply several data mining and …

As per the recent study by WHO, heart related diseases are increasing. 17.9 million people
die every-year due to this. With growing population, it gets further difficult to diagnose and
start treatment at early stage. But due to the recent advancement in technology, Machine
Learning techniques have accelerated the health sector by multiple researches. Thus, the
objective of this paper is to build a ML model for heart disease prediction based on the
related parameters. We have used a benchmark dataset of UCI Heart disease prediction for …