UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
Call for Paper
Volume 11 | Issue 3 | March 2024

JETIREXPLORE- Search Thousands of research papers



WhatsApp Contact
Click Here

Published in:

Volume 8 Issue 6
June-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:
JETIR2106020


Registration ID:
310152

Page Number

a143-a147

Share This Article


Jetir RMS

Title

Comparison of Various Machine Learning Algorithms for Heart Disease Prediction

Abstract

The Heart Disease as demonstrated by the outline is the principle wellspring of death wherever on the world. The prosperity region has a huge load of data, yet deplorably, these data are not all around utilized. This is a direct result of nonattendance of convincing assessment mechanical assemblies to discover striking examples in data. Data Mining can help with recuperating significant data from open data. It helps with planning model to predict patients' prosperity which will be faster appeared differently in relation to clinical experimentation. A huge load of investigation has been finished using the Different Heart datasets. Various Implementation of AI computations like K-Nearest Neighbor, Support Vector Machine, Logistic Regression, etc have been applied. This examination is fundamentally searching for the proficient calculations that will work entirely on coronary illness. We will investigate various calculations on a given dataset and notice all the trial bring about our work.

Key Words

- Heart Disease, Machine Learning Algorithms, KNN, Random Forest method, and Logistic Regression

Cite This Article

"Comparison of Various Machine Learning Algorithms for Heart Disease Prediction ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 6, page no.a143-a147, June-2021, Available :http://www.jetir.org/papers/JETIR2106020.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

"Comparison of Various Machine Learning Algorithms for Heart Disease Prediction ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 6, page no. ppa143-a147, June-2021, Available at : http://www.jetir.org/papers/JETIR2106020.pdf

Publication Details

Published Paper ID: JETIR2106020
Registration ID: 310152
Published In: Volume 8 | Issue 6 | Year June-2021
DOI (Digital Object Identifier):
Page No: a143-a147
Country: raipur , chattisgarh , India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


Preview This Article


Downlaod

Click here for Article Preview

Download PDF

Downloads

000561

Print This Page

Current Call For Paper

Jetir RMS