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Diabetes Prediction Algorithm Using Recursive Ridge Regression L2
2022
Computers Materials & Continua
At present, the prevalence of diabetes is increasing because the human body cannot metabolize the glucose level. Accurate prediction of diabetes patients is an important research area. Many researchers have proposed techniques to predict this disease through data mining and machine learning methods. In prediction, feature selection is a key concept in preprocessing. Thus, the features that are relevant to the disease are used for prediction. This condition improves the prediction accuracy.
doi:10.32604/cmc.2022.020687
fatcat:edvwlfccqjfbrg7umkqkw2d2ca