Predictive modeling of multi-class diabetes mellitus using machine learning and filtering iraqi diabetes data dynamics

HIGHLIGHTS

• What: The authors propose a multiclass diabetes mellitus detection and classification approach formulate a new dataset that is moderately imbalanced based on the Laboratory of Medical employ three machine learning classifiers namely support vector machine logistic regression and k-nearest neighbor. The authors provide a wide-ranging empirical analysis spanning many popular ML classifiers on diabetes disease in the case of multiclass classification, namely healthy control, pre-diabetes, and diabetes prediction . While some papers focus solely on predicting the onset of diabetes, others may not explicitly mention the prediction of prediabetes due to factors such as data . . .
  

   

  

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