UGC Approved Journal no 63975(19)

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

Volume 9 Issue 9
September-2022
eISSN: 2349-5162

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

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Published Paper ID:
JETIR2209252


Registration ID:
502542

Page Number

c270-c275

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Title

A MACHINE LEARNING APPROACH FOR DIABETES PREDICTION

Abstract

Diabetes is a chronic metabolic disorder. Diabetes occurs if the blood glucose levels (BGL) are unduly high in the body. High blood glucose levels gradually lead to cardiovascular diseases, diabetic retinopathy, nephropathy, neuropathy, and foot damage. Early detection is essential to reveal dire effects amongst people, leading to timely medical care and lifestyle changes. Hence, with the boom in machine learning, we can assess whether a person has diabetes or not. In this paper, we use the Pima Indian dataset, which is originally from the “National Institute of Diabetes and Digestive and Kidney Diseases”, to build a diabetes prediction model using machine learning. In this work, we will use machine learning classifiers such as Logistic Regression, k-Nearest Neighbor, Decision Tree, Random Forest, Support Vector Machine, Gradient Boosting, and Light Gradient Boosting Machine. The algorithm with the most precise result was used for prediction. With an accuracy of 89.86% Gradient Boosting classifier outperforms other classifiers.

Key Words

Diabetes, Logistic Regression, k-Nearest Neighbor, Decision Tree, Random Forest, Support Vector Machine, Gradient Boosting, Light Gradient Boosting Machine

Cite This Article

"A MACHINE LEARNING APPROACH FOR DIABETES PREDICTION ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 9, page no.c270-c275, September-2022, Available :http://www.jetir.org/papers/JETIR2209252.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 MACHINE LEARNING APPROACH FOR DIABETES PREDICTION ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 9, page no. ppc270-c275, September-2022, Available at : http://www.jetir.org/papers/JETIR2209252.pdf

Publication Details

Published Paper ID: JETIR2209252
Registration ID: 502542
Published In: Volume 9 | Issue 9 | Year September-2022
DOI (Digital Object Identifier):
Page No: c270-c275
Country: -, -, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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