How AI is assisting in early detection of diabetes-related diseases
Dataconomy
FEBRUARY 16, 2024
AI models such as recurrent neural networks (RNN), regression-based methods, decision trees, random forest (RF), support vector machine (SVM, and extreme gradient boosting have been used in diagnosing early signs of kidney failure from diabetes. By 2030, forecasts show that the number of diabetic patients with PAD will reach 23.8
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