2022 2nd International Conference on Technological Advancements in Computational Sciences (ICTACS) 2022
DOI: 10.1109/ictacs56270.2022.9988050
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Research on Diabetes Prediction Method Based on Machine Learning

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“…In this study, M. Paliwal and P. Saraswat [14] use controlled machine learning techniques on real data from 520 diabetic patients and probable diabetes patients ranging in age from sixteen to ninety. The Naive Bayes classifier, Light-GBM, and support vector machine (SVM) are some examples of these techniques.…”
Section: Related Workmentioning
confidence: 99%
“…In this study, M. Paliwal and P. Saraswat [14] use controlled machine learning techniques on real data from 520 diabetic patients and probable diabetes patients ranging in age from sixteen to ninety. The Naive Bayes classifier, Light-GBM, and support vector machine (SVM) are some examples of these techniques.…”
Section: Related Workmentioning
confidence: 99%