Paper Key : IRJ************198
Author: Sukanya Kokani
Date Published: 17 Oct 2023
Abstract
Heart disease is a general but dangerous disease that term to a type of disease that affects the heart or blood vessels. Due to this millions of people die every year. The annual number of deaths from cardiovascular diseases in India is projected to rise by 620 million people living with cardiovascular diseases. Heart disease has been the leading cause of death worldwide over the past 10 years. This research paper presents a comparative study of two popular Machine learning algorithms, the Decision Tree algorithm and the Random Forest algorithm. The study aims to compare the results of both algorithms and determine which one of them predicts the diseases early and accurately. It will be an important consideration for the medical professional when making a clinical decision. Furthermore, the results of this research contribute to the ongoing efforts aimed at developing accurate and predictable models for predicting heart disease. These findings will provide valuable assistance to the healthcare department by leveraging technology