Design of Framework to Reduce the Risk of Diabetic using Machine Learning

1
Saroj Kumar Gupta
Saroj Kumar Gupta
2
Dr. Md. Vaseem Naiyer
Dr. Md. Vaseem Naiyer
3
dr.annandakumar
dr.annandakumar

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Diabetes is a serious disease that spreads rapidly around the world and is first surprising. Its danger factors are therefore quite high. A different technique to identify diabetes at an early stage is to gradually decline in general health. This approach will reveal the health of the body’s organs before symptoms manifest. Using machine learning approaches, a framework for the diabetes prediction system is built in this research paper’s first stages. One popular method for streamlining the diabetes screening process is machine learning. A developed system using a machine learning algorithm and the PIMA health dataset. Using a health analyzer machine, health checks are performed. Diabetic and non-diabetic individuals are separated using the Support Vector machine (SVM) approach. The outcome displays the PIMA accuracy of the SVM algorithm.

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No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

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No ethics committee approval was required for this article type.

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Not applicable for this article.

Saroj Kumar Gupta. 2026. \u201cDesign of Framework to Reduce the Risk of Diabetic using Machine Learning\u201d. Global Journal of Research in Engineering - J: General Engineering GJRE-J Volume 22 (GJRE Volume 22 Issue J4): .

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A detailed framework to reduce risks in diabetic patients using machine learning models.
Journal Specifications

Crossref Journal DOI 10.17406/gjre

Print ISSN 0975-5861

e-ISSN 2249-4596

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GJRE-J Classification: DDC Code: 006.312 LCC Code: QA76.9.D343
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v1.2

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January 20, 2023

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English

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Design of Framework to Reduce the Risk of Diabetic using Machine Learning

Saroj Kumar Gupta
Saroj Kumar Gupta
Dr. Md. Vaseem Naiyer
Dr. Md. Vaseem Naiyer
dr.annandakumar
dr.annandakumar

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