UGC Approved Journal no 63975(19)
New UGC Peer-Reviewed Rules

ISSN: 2349-5162 | ESTD Year : 2014
Volume 13 | Issue 9 | September 2026

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Published in:

Volume 10 Issue 6
June-2023
eISSN: 2349-5162

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

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Published Paper ID:
JETIR2306418


Registration ID:
518520

Page Number

d899-d901

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Title

A review on diabetes prediction using machine learning techniques

Authors

Abstract

Machine learning is widely used nowadays on medical datasets. A lot of work has already been carried out on datasets of different disease. Diabetes is affecting a lot of people worldwide. International diabetes federation has reported that 382 million people are living with diabetes across the whole world and this number is going to double by 2035. This paper aims at reviewing some of the work done on diabetes dataset using machine learning techniques.

Key Words

Machine learning, Diabetes, classification

Cite This Article

"A review on diabetes prediction using machine learning techniques", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 6, page no.d899-d901, June-2023, Available :http://www.jetir.org/papers/JETIR2306418.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 review on diabetes prediction using machine learning techniques", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 6, page no. ppd899-d901, June-2023, Available at : http://www.jetir.org/papers/JETIR2306418.pdf

Publication Details

Published Paper ID: JETIR2306418
Registration ID: 518520
Published In: Volume 10 | Issue 6 | Year June-2023
DOI (Digital Object Identifier):
Page No: d899-d901
Country: hisar, haryana, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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