scholarly journals ENHANCING THE PERFORMANCE OF DIABETES PREDICTION USING TUNING OF HYPERPARAMETERS OF CLASSIFIERS ON IMBALANCED DATASET

2021 ◽  
Vol 12 (6) ◽  
pp. 1646-1662
Author(s):  
Subhash Chandra Gupta ◽  
Durgesh Kumar Singh ◽  
Noopur Goel
Keyword(s):  
Imbalanced Dataset ◽  
Diabetes Prediction

Diabetes Prediction using Data Mining

2019 ◽  
Vol 7 (3) ◽  
pp. 749-753
Author(s):  
Suhasini Vijaykumar ◽  
Manjiri Moghe
Keyword(s):  
Data Mining ◽  
Diabetes Prediction ◽  
Using Data

A hybrid data-level ensemble to enable learning from highly imbalanced dataset

2021 ◽  
Vol 554 ◽  
pp. 157-176
Author(s):  
Zhi Chen ◽  
Jiang Duan ◽  
Li Kang ◽  
Guoping Qiu
Keyword(s):  
Imbalanced Dataset ◽  
Hybrid Data ◽  
Data Level

scholarly journals Comparison of two insulin assays for first-phase insulin release in type 1 diabetes prediction and prevention studies

2011 ◽  
Vol 412 (23-24) ◽  
pp. 2128-2131 ◽  
Author(s):  
Jeffrey L. Mahon ◽  
Craig A. Beam ◽  
Santica M. Marcovina ◽  
David C. Boulware ◽  
Jerry P. Palmer ◽  
...  
Keyword(s):  
Type 1 Diabetes ◽  
Insulin Release ◽  
Prediction And Prevention ◽  
Prevention Studies ◽  
Diabetes Prediction ◽  
First Phase Insulin Release

scholarly journals Prediction of secondary testosterone deficiency using machine learning: A comparative analysis of ensemble and base classifiers, probability calibration, and sampling strategies in a slightly imbalanced dataset

2021 ◽  
Vol 23 ◽  
pp. 100538
Author(s):  
Monique Tonani Novaes ◽  
Osmar Luiz Ferreira de Carvalho ◽  
Pedro Henrique Guimarães Ferreira ◽  
Taciana Leonel Nunes Tiraboschi ◽  
Caroline Santos Silva ◽  
...  
Keyword(s):  
Machine Learning ◽  
Comparative Analysis ◽  
Sampling Strategies ◽  
Testosterone Deficiency ◽  
Imbalanced Dataset
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