2022
DOI: 10.1002/cpe.6751
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Machine learning based pattern detection technique for diabetes mellitus prediction

Abstract: In recent years, a few popular classifiers and computational tools have been introduced for the prediction of diabetes mellitus. The robustness of these methodologies is to predict and classify the diabetes mellitus. Diabetes is the most fatal disease that affects the life style of humans. More researchers have focusing on diabetes issues to design efficient classifiers for better classification and prediction. This research work is analyzed with two existing classifiers: (i) hybrid prediction model for type 2… Show more

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Cited by 3 publications
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“…Diabetes is a metabolic disorder involving inadequate insulin production or impaired function that causes changes in blood glucose levels (BGLs) [ 1 ]. The main types include Type 1 Diabetes (T1D), Type 2 Diabetes (T2D), and gestational diabetes [ 2 , 3 ]. T1D stems from an autoimmune response that damages pancreatic β-cells [ 4 ], whereas T2D results from reduced insulin sensitivity or insufficient secretion [ 5 ].…”
Section: Introductionmentioning
confidence: 99%
“…Diabetes is a metabolic disorder involving inadequate insulin production or impaired function that causes changes in blood glucose levels (BGLs) [ 1 ]. The main types include Type 1 Diabetes (T1D), Type 2 Diabetes (T2D), and gestational diabetes [ 2 , 3 ]. T1D stems from an autoimmune response that damages pancreatic β-cells [ 4 ], whereas T2D results from reduced insulin sensitivity or insufficient secretion [ 5 ].…”
Section: Introductionmentioning
confidence: 99%