UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 9 Issue 2
February-2022
eISSN: 2349-5162

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

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Published Paper ID:
JETIR2202212


Registration ID:
320164

Page Number

c943-c949

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Title

Diabetes prediction using Various Machine Learning Algorithms

Abstract

Diabetes is a disease that is caused by a high glucose level in the human body. Diabe-tes should not be overlooked; if left untreated, it can lead to serious complications such as heart disease, renal disease, high blood pressure, vision loss, and damage to other organs in the body. If diabetes is detected early enough, it can be managed. To reach this purpose, we will use several machine learning techniques to do early diabe-tes prediction in a human body or a patient for a higher accuracy. Techniques for machine learning by developing models using patient datasets, you can improve your prediction results. On a dataset, we will utilize Machine Learning Classification and in this study. K-Nearest Neighbor (KNN), Logistic Regression (LR), Decision Tree (DT).Every model has a distinct level of precision.

Key Words

KNN , Decision Tree, Logistic regression, ML.

Cite This Article

"Diabetes prediction using Various Machine Learning Algorithms", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 2, page no.c943-c949, February-2022, Available :http://www.jetir.org/papers/JETIR2202212.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

"Diabetes prediction using Various Machine Learning Algorithms", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 2, page no. ppc943-c949, February-2022, Available at : http://www.jetir.org/papers/JETIR2202212.pdf

Publication Details

Published Paper ID: JETIR2202212
Registration ID: 320164
Published In: Volume 9 | Issue 2 | Year February-2022
DOI (Digital Object Identifier):
Page No: c943-c949
Country: ahmedabad, Gujarat, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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