Abstract: For early identification and individualised management, machine learning-based diabetes prediction is essential. In this work, the methods for logistic regression (LR), naïve Bayes (NB), ...

Over 2,250 samples from 184 participants yielded 376 regulated proteins identified using machine learning analyses ... during type 1 diabetes development and allow the prediction of the disease ...

Objectives This study aimed to compare the performance of five machine learning algorithms to predict diabetes ... trees using a bagging technique. Each individual tree predicts the outcome with the ...

For example, by preventing hospitalizations in cases of just two widespread chronic illnesses — heart disease and diabetes — the United States could save billions of dollars a year.