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 4 Issue 6
June-2017
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:
JETIR1706045


Registration ID:
170472

Page Number

203-205

Share This Article


Jetir RMS

Title

A Survey on Machine Learning Approaches for Disease

Abstract

Nowadays, the prediction of various diseases by using an automated system is a significant alternative for medical decision by doctors. Such automated systems are able to assist the patients, hospital enquiry personals and doctors to acquire the correct information about the disease. Machine learning approaches are used intensively to predict the diseases such as heart disease, lung cancer, liver diseases etc. In this paper, we focus on the various machine learning approaches used in disease predicting systems.

Key Words

Disease Predicting System, Naïve Bayes Algorithm, K-Means Clustering Algorithm, Support Vector Machine.

Cite This Article

"A Survey on Machine Learning Approaches for Disease", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.4, Issue 6, page no.203-205, June-2017, Available :http://www.jetir.org/papers/JETIR1706045.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

"A Survey on Machine Learning Approaches for Disease", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.4, Issue 6, page no. pp203-205, June-2017, Available at : http://www.jetir.org/papers/JETIR1706045.pdf

Publication Details

Published Paper ID: JETIR1706045
Registration ID: 170472
Published In: Volume 4 | Issue 6 | Year June-2017
DOI (Digital Object Identifier):
Page No: 203-205
Country: THRISSUR, KERALA, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


Preview This Article


Downlaod

Click here for Article Preview

Download PDF

Downloads

0003133

Print This Page

Current Call For Paper

Jetir RMS