Bagging Machine Learning Classifier Model to Predict Diabetes Mellitus Disease
Author:
Affiliation:
1. Intelligent Technologies Research Group, CDT, UEL,London,UK,E16 2RD
2. University of Bahrain,College of Information Technology,Kingdom of Bahrain
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10629220/10629232/10629346.pdf?arnumber=10629346
Reference24 articles.
1. 1-10-adults-living-diabetes-2030, www.diabetes.org.uk,2021
2. Classification System for Diabetes Mellitus
3. Reduction of Number and Duration of Hypoglycemic Events by Glucose Prediction Methods: A Proof-of-Concept In Silico Study
4. Bagging and Boosting Ensemble Classifiers for Classification of Multispectral, Hyperspectral and PolSAR Data: A Comparative Evaluation
5. Diabetes Mellitus Classification Using Hybrid Machine Learning With Stacking Technique
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