A multiple combined method for rebalancing medical data with class imbalances

Author:

Wang Yun-Chun,Cheng Ching-HsueORCID

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications

Reference77 articles.

1. Learning from imbalanced data sets: a comparison of various strategies;Japkowicz,2000

2. A hybrid sampling algorithm combining M-SMOTE and ENN based on Random Forest for medical imbalanced data;Xu;J. Biomed. Inf.,2020

3. Improving imbalanced learning through a heuristic oversampling method based on k-means and SMOTE;Douzas;Inf. Sci.,2018

4. Special issue on learning from imbalanced data sets;Chawla;ACM SIGKDD Explorations Newsletter,2004

5. A classification method for class-imbalanced data and its application on bioinformatics;Quan;J. Comput. Res. Dev.,2010

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