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RSMOTE: improving classification performance over imbalanced medical datasets

INTRODUCTION: Medical diagnosis is a crucial step for patient treatment. However, diagnosis is prone to bias due to imbalanced datasets. To overcome the imbalanced dataset problem, simple minority oversampling technique (SMOTE) was proposed that can generate new synthetic samples at data level to cr...

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Библиографические подробности
Опубликовано в: :Health Inf Sci Syst
Главные авторы: Naseriparsa, Mehdi, Al-Shammari, Ahmed, Sheng, Ming, Zhang, Yong, Zhou, Rui
Формат: Artigo
Язык:Inglês
Опубликовано: Springer International Publishing 2020
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Online-ссылка:https://ncbi.nlm.nih.gov/pmc/articles/PMC7292850/
https://ncbi.nlm.nih.gov/pubmed/32549976
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s13755-020-00112-w
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