Diabetes Estimation Applying AI Support Vector Machine – Algorithm Technique

Registration ID: IJNRD_190264

Published ID: IJNRD2304072

DOI: Click Here to Get

Vraj Mayur Parekh , Swati Nandusekar , Siddharth Piyush Tanna , Preksha Pranaykumar Shah

Support Vector Machine, Diabetes Detection, Machine Learning

Diabetes is a persistent metabolic problem described by high blood levels. Early detection and accurate prediction of diabetes can help prevent complications and improve patient outcomes. Support Vector Machines is considered to be a prevailing machine learning algorithm technique which has been persistently used in disease prediction due to its capability to manage complex data and nonlinear relationships. In this paper, we decided to develop an SVM-based diabetes prediction system using a dataset of patient records and clinical features. A promising algorithm for diabetes prediction based on patient data and clinical features. We reviewed the most commonly used machine learning algorithms for diabetes prediction, including SVM, decision tree, logistic regression. SVM is a prevalent algorithm that has been broadly used in disease prediction studies, including diabetes prediction. Several studies have explored the use of SVM algorithm for diabetes prediction, and the results indicate that SVM achieved high accuracy, sensitivity, and specificity in predicting diabetes. The most important features in predicting diabetes include BMI, age, and fasting blood glucose level. Future studies could further explore the need and utilization of SVM with other machine learning algorithms for diabetes prediction using larger and more diverse datasets. Early detection and accurate prediction of diabetes can help prevent complications and improve patient outcomes, and machine learning algorithms, such as SVM, have the latent to be a useful tool for identifying samples at risk for developing diabetes.

Published Paper   E-Certificate

Vraj Mayur Parekh, Swati Nandusekar , Siddharth Piyush Tanna , & Preksha Pranaykumar Shah (April-2023). Diabetes Estimation Applying AI Support Vector Machine – Algorithm Technique. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(4), a585-a589. https://ijnrd.org/papers/IJNRD2304072.pdf

Volume 8 Issue 4, April-2023

Pages : a585-a589

Paper Reg. ID: IJNRD_190264

Published Paper Id: IJNRD2304072

Downloads: 000121977

Research Area: Engineering

Country: Mumbai, Maharashtra, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2304072.pdf

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Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

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