ArticleComputational intelligence and neuroscience2022
Blended Ensemble Learning Prediction Model for Strengthening Diagnosis and Treatment of Chronic Diabetes Disease.
Article in Computational intelligence and neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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10 citing papers in PubMed.
- A cardiovascular disease prediction method based on cross-combination strategy and dynamic weighted stacking ensemble.Scientific reports · 2026Article
- Development of a machine learning-based interface for insulin dependency prediction using clinical data.Scientific reports · 2025Article
- Impact of canny edge detection preprocessing on performance of machine learning models for Parkinson's disease classification.Scientific reports · 2025Article
- HFSA: hybrid feature selection approach to improve medical diagnostic system.PeerJ. Computer science · 2025Article
- Identifying diagnostic indicators for type 2 diabetes mellitus from physical examination using interpretable machine learning approach.Frontiers in endocrinology · 2024Article
- Acknowledging the use of botanicals to treat diabetic foot ulcer during the 21World journal of clinical cases · 2023Article
- Ensemble Deep Learning Derived from Transfer Learning for Classification of COVID-19 Patients on Hybrid Deep-Learning-Based Lung Segmentation: A Data Augmentation and Balancing Framework.Diagnostics (Basel, Switzerland) · 2023Article
- Homogeneous Adaboost Ensemble Machine Learning Algorithms with Reduced Entropy on Balanced Data.Entropy (Basel, Switzerland) · 2023Article
- Fig latex inhibits the growth of pathogenic bacteria invading human diabetic wounds and accelerates wound closure in diabetic mice.Scientific reports · 2022Article
- Efficient Hybrid Blind Watermarking in DWT-DCT-SVD with Dual Biometric Features for Images.Contrast media & molecular imaging · 2022Article
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7 authors.
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Abstract
Diabetes mellitus (DM), commonly known as diabetes, is a collection of metabolic illnesses characterized by persistently high blood sugar levels. The signs of elevated blood sugar include increased hunger, frequent urination, and increased thirst. If DM is not treated properly, it may lead to several complications. Diabetes is caused by either insufficient insulin production by the pancreas or an insufficient insulin response by the body's cells. Every year, 1.6 million individuals die from this disease. The objective of this research work is to use relevant features to construct a blended ensemble learning (EL)-based forecasting system and find the optimal classifier for comparing clinical outputs. The EL based on Bayesian networks and radial basis functions has been proposed in this article. The performances of five machine learning (ML) techniques, namely, logistic regression (LR), decision tree (DT) classifier, support vector machine (SVM),
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