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Published in:

Volume 8 Issue 3
March-2021
eISSN: 2349-5162

Unique Identifier

JETIR2103045

Page Number

290-295

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Title

Diabetes Prediction Using Different Kernels of SVM Classification Algorithm

ISSN

2349-5162

Cite This Article

"Diabetes Prediction Using Different Kernels of SVM Classification Algorithm", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 3, page no.290-295, March-2021, Available :http://www.jetir.org/papers/JETIR2103045.pdf

Abstract

Diabetes increases the danger of heart condition by about fourfold in women but only around twice in men. After a heart attack, the outcomes are severe in women too. Women also are at higher risk of other diabetes-related complications like blindness, renal disorder, and depression. The modeling of support vector machines may also be a promising classification method for identifying people within the population with common diseases such as diabetes and pre-diabetes.We illustrate different SVM techniques to detect women with diabetes based on the sample of the women population. For the classification of patients with diabetes and without diabetes based on the set of diabetes-related variables, Compared to other kernels used for SVM, the RBF kernel SVM algorithm can predict the chances of diabetes with 83 percent accuracy. To demonstrate a user-friendly and platform-independent application that allows for person or community assessment with a configurable, user-defined threshold, the Docker-based web tool for Diabetes Classifier was developed. Using common variables, this method can be further explored and updated for other complex diseases.

Key Words

Diabetes Prediction , SVM Classification Algorithm , Machine Learning

Cite This Article

"Diabetes Prediction Using Different Kernels of SVM Classification Algorithm", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 3, page no. pp290-295, March-2021, Available at : http://www.jetir.org/papers/JETIR2103045.pdf

Publication Details

Published Paper ID: JETIR2103045
Registration ID: 306381
Published In: Volume 8 | Issue 3 | Year March-2021
DOI (Digital Object Identifier):
Page No: 290-295
ISSN Number: 2349-5162

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Cite This Article

"Diabetes Prediction Using Different Kernels of SVM Classification Algorithm", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 3, page no. pp290-295, March-2021, Available at : http://www.jetir.org/papers/JETIR2103045.pdf




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