The Impact of Oversampling with SMOTE on the Performance of 3 Classifiers in Prediction of Type 2 Diabetes

Prevention of non-communicable disease in a population in nutrition transition: Tehran Lipid and Glucose Study phase II

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Analysis of preprocessing vs. cost-sensitive learning for imbalanced classification. Open problems on intrinsic data characteristics

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Population-based incidence of Type 2 diabetes and its associated risk factors: results from a six-year cohort study in Iran

(2009) Hadi Harati et al.   BMC PUBLIC HEALTH

Learning from Imbalanced Data

(2009) Haibo He et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

CLASSIFICATION OF IMBALANCED DATA: A REVIEW

(2009) YANMIN SUN et al.   INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE

Regularized F-Measure Maximization for Feature Selection and Classification

(2009) Zhenqiu Liu et al.   JOURNAL OF BIOMEDICINE AND BIOTECHNOLOGY

Countering imbalanced datasets to improve adverse drug event predictive models in labor and delivery

(2008) L.M. Taft et al.   JOURNAL OF BIOMEDICAL INFORMATICS

Revisiting youden's index as a useful measure of the misclassification error in meta-analysis of diagnostic studies

(2008) Dankmar Böhning et al.   STATISTICAL METHODS IN MEDICAL RESEARCH

Predictive data mining in clinical medicine: Current issues and guidelines

(2007) R BELLAZZI et al.   INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS