Heart Disease Prediction using Machine Learning Algorithm

Dr. A Rengarajan; Ravi Kumar Singh

Title:
Heart Disease Prediction using Machine Learning Algorithm

Authors:
Ravi Kumar Singh | Dr. A Rengarajan

Cite This Article :

Ravi Kumar Singh | Dr. A Rengarajan "Heart Disease Prediction using Machine Learning Algorithm" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-2, February 2021, pp.183-187, URL: https://www.ijtsrd.com/papers/ijtsrd38358.pdf

Download

Abstract :
Nowadays, Heart disease has become dangerous to a human being, it effects very badly to human body. If anyone is suffering from heart disease, then it leads to blood clotting. Heart disease prediction is very difficult task to predict in the field of medical science. Affiliation has predicted that 12 million people fail horrendously every year as a result of heart disease. In this paper, we propose a k-Nearest Neighbors Algorithm (KNN) way to deal with improve the exactness of heart determination. We show that k-Nearest Neighbors Algorithm (KNN) have better accuracy than random forest algorithm for viewing heart disease. The k-Nearest Neighbors Algorithm give more precise and exact outcome . We have taken 13 attributes in the dataset and a target attribute, by applying machine learning we achieved 84% accuracy in the heart disease detection.

Keywords :
Machine Learning, k-Nearest Neighbors classifier, Decision Tree classifier, Random Forest Classifier, Jupyter

Publication Details:

Unique Identification Number : IJTSRD38358

Published In : Volume-5 | Issue-2, February 2021

Page Number(s) : 183-187

Publisher Name : IJTSRD | www.ijtsrd.com | E-ISSN 2456-6470

Copyright © 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0)

About IJTSRD
Indexing

International Journal of Trend in Scientific Research and Development - IJTSRD having online ISSN 2456-6470. IJTSRD is a leading Open Access, Peer-Reviewed International Journal which provides rapid publication of your research articles and aims to promote the theory and practice along with knowledge sharing between researchers, developers, engineers, students, and practitioners working in and around the world in many areas like Sciences, Technology, Innovation, Engineering, Agriculture, Management and many more and it is recommended by all Universities, review articles and short communications in all subjects. IJTSRD running an International Journal who are proving quality publication of peer reviewed and refereed international journals from diverse fields that emphasizes new research, development and their applications. IJTSRD provides an online access to exchange your research work, technical notes & surveying results among professionals throughout the world in e-journals. IJTSRD is a fastest growing and dynamic professional organization. The aim of this organization is to provide access not only to world class research resources, but through its professionals aim to bring in a significant transformation in the real of open access journals and online publishing.