Diabetes as a metabolic illness can be characterized by increased amounts of blood
glucose. This abnormal increase can lead to critical detriment to the other organs such as …

Abstract Purpose of Review Machine learning approaches—which seek to predict outcomes
or classify patient features by recognizing patterns in large datasets—are increasingly …

The prevalence of diabetes has been increasing in recent years, and previous research has
found that machine-learning models are good diabetes prediction tools. The purpose of this …

Diabetes, as a global health concern, requires timely detection to mitigate risks and manage
disease progression. Current research has made progress in predictive modeling. however …

The purpose of the present chapter was to compare performance and accuracy of three
different approaches to diabetes mellitus risk prediction. It was shown, in particular, that a …