2022
DOI: 10.15439/2023r43
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Applications of Machine Learning for Diabetes Prediction

Nayeem Ahmed,
Syed Imtiyaz Hassan,
Md. Zair Hussain

Abstract: The use of machine learning techniques has drawn more attention due to its potential to improve early identification and intervention in diabetes, a critical global health concern. This article offers an extensive overview of the various machine learning algorithms used in diabetes prediction, including ensemble techniques, logistic regression, support vector machines, decision trees, and neural networks. The research closely examines how these algorithms make use of a variety of data sources, including wearab… Show more

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