UGC Approved Journal no 63975(19)

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

Volume 10 Issue 8
August-2023
eISSN: 2349-5162

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

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Published Paper ID:
JETIR2308080


Registration ID:
522365

Page Number

a602-a607

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Title

Diabetes Prediction Using Machine Learning Algorithms

Abstract

The field of healthcare is a prominent area of research that is experiencing rapid technological advancements and a continuous increase in data every day. Diabetes is also called chronic disease. It is a group of metabolic disease due to very high level of sugar in the human body for a long period. Diabetes risk factor and severities are reduced if diabetes prediction early because of the presence of outlier/missing values in the dataset of diabetes. Facing challenges for robust and accurate prediction. The International Diabetes Federations (IDA) states that there are currently 382 million people living with diabetes, and by 2025, this number is projected to double, reaching 592 million individuals. Machine learning shows great potential as a method that can aid in detecting diseases at an early stage and support healthcare professionals in making diagnostic decisions. The diabetes prediction using machine learning algorithms are K-Nearest Neighbors (KNN), Support Vector Machine (SVM), Random Forest (RF) and Decision Tree. Performance evaluation there are few things that are confusion matrix, precision, accuracy, f-score and recall are used. The outcome of experiment indicates that decision tree better performed than other methods of machine learning in terms of accuracy.

Key Words

Support Vector Machine, Decision Tree, K-Nearest Neighbor, Machine Learning, Random Forest.

Cite This Article

"Diabetes Prediction Using Machine Learning Algorithms", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 8, page no.a602-a607, August-2023, Available :http://www.jetir.org/papers/JETIR2308080.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 Machine Learning Algorithms", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 8, page no. ppa602-a607, August-2023, Available at : http://www.jetir.org/papers/JETIR2308080.pdf

Publication Details

Published Paper ID: JETIR2308080
Registration ID: 522365
Published In: Volume 10 | Issue 8 | Year August-2023
DOI (Digital Object Identifier):
Page No: a602-a607
Country: Kolhapur, MAHARASHTRA, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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