UGC Approved Journal no 63975

ISSN: 2349-5162 | ESTD Year : 2014
Call for Paper
Volume 9 | Issue 1 | January 2022

JETIREXPLORE- Search Thousands of research papers



WhatsApp Contact
Click Here

Published in:

Volume 8 Issue 7
July-2021
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

7.95 impact factor calculated by Google scholar

Unique Identifier

Published Paper ID:
JETIR2107326


Registration ID:
312420

Page Number

c444-c448

Share This Article


Jetir RMS

Title

Heart Disease Prediction using Machine Learning Techniques: A Review

Abstract

Heart disease is one of the most critical human diseases in the world and affects human life very badly. In heart disease, the heart is unable to push the required amount of blood to other parts of the body. Accurate and on time diagnosis of heart disease is important for heart failure prevention and treatment. Discovery of hidden patterns and relationships often goes unexploited. Advanced data mining techniques can help remedy this situation. Therefore classify the healthy people and people with heart disease, non-invasive-based methods such as machine learning are reliable and efficient. This paper studied a prototype Intelligent Heart Disease Prediction System (IHDPS) using data mining techniques, namely, Decision Trees, Naïve Bayes and Neural Network. Various results show that each technique has its unique strength to prediction parameters.

Key Words

Heart Disease, Prediction, Data mining, Machine Learning, Decision Trees, Naïve Bayes

Cite This Article

"Heart Disease Prediction using Machine Learning Techniques: A Review", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 7, page no.c444-c448, July-2021, Available :http://www.jetir.org/papers/JETIR2107326.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Heart Disease Prediction using Machine Learning Techniques: A Review", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 7, page no. ppc444-c448, July-2021, Available at : http://www.jetir.org/papers/JETIR2107326.pdf

Publication Details

Published Paper ID: JETIR2107326
Registration ID: 312420
Published In: Volume 8 | Issue 7 | Year July-2021
DOI (Digital Object Identifier):
Page No: c444-c448
Country: Patel Nagar, Madhya Pradesh, India .
Area: Engineering
ISSN Number: 2349-5162


Preview This Article


Downlaod

Click here for Article Preview

Download PDF

Downloads

000254

Print This Page

Current Call For Paper

Jetir RMS