Implications of resampling data to address the class imbalance problem (IRCIP): an evaluation of impact on performance between classification algorithms in medical data

Solving the class imbalance problem using ensemble algorithm: application of screening for aortic dissection

(2022) Lijue Liu et al.   BMC Medical Informatics and Decision Making

An empirical evaluation of sampling methods for the classification of imbalanced data

(2022) Misuk Kim et al.   PLoS One

Selective oversampling approach for strongly imbalanced data

(2021) Peter Gnip et al.   PeerJ Computer Science

The class imbalance problem

(2021) Fadel M. Megahed et al.   NATURE METHODS

Over- and Under-sampling Approach for Extremely Imbalanced and Small Minority Data Problem in Health Record Analysis

(2020) Koichi Fujiwara et al.   Frontiers in Public Health

Synthetic minority oversampling of vital statistics data with generative adversarial networks

(2020) Aki Koivu et al.   JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION

Class imbalance in gradient boosting classification algorithms: Application to experimental stroke data

(2020) Olga Lyashevska et al.   STATISTICAL METHODS IN MEDICAL RESEARCH

A comprehensive data level analysis for cancer diagnosis on imbalanced data

(2019) Sara Fotouhi et al.   JOURNAL OF BIOMEDICAL INFORMATICS

Corpus domain effects on distributional semantic modeling of medical terms

(2016) Serguei V.S. Pakhomov et al.   BIOINFORMATICS

Towards better clinical prediction models: seven steps for development and an ABCD for validation

(2014) E. W. Steyerberg et al.   EUROPEAN HEART JOURNAL

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

(2014) Azra Ramezankhani et al.   MEDICAL DECISION MAKING

SMOTE for high-dimensional class-imbalanced data

(2013) Rok Blagus et al.   BMC BIOINFORMATICS

Multiple imputation by chained equations: what is it and how does it work?

(2011) Melissa J. Azur et al.   INTERNATIONAL JOURNAL OF METHODS IN PSYCHIATRIC RESEARCH

A learning method for the class imbalance problem with medical data sets

(2010) Der-Chiang Li et al.   COMPUTERS IN BIOLOGY AND MEDICINE

A comparison of random forest and its Gini importance with standard chemometric methods for the feature selection and classification of spectral data

(2009) Bjoern H Menze et al.   BMC BIOINFORMATICS