首页|期刊导航|数据科学与管理（英文）|Counterfactual synthetic minority oversampling technique:solving healthcare's imbalanced learning challenge
数据科学与管理（英文）2025，Vol.8Issue(4)：436-446,11.DOI:10.1016/j.dsm.2025.01.006
Counterfactual synthetic minority oversampling technique:solving healthcare's imbalanced learning challenge
Counterfactual synthetic minority oversampling technique:solving healthcare's imbalanced learning challenge
摘要
关键词
Imbalanced learning/Oversampling/Counterfactual generation/Machine learning(ML)/Synthetic minority oversampling technique/(SMOTE)Key words
Imbalanced learning/Oversampling/Counterfactual generation/Machine learning(ML)/Synthetic minority oversampling technique/(SMOTE)引用本文复制引用
Goncalo Almeida,Fernando Bacao..Counterfactual synthetic minority oversampling technique:solving healthcare's imbalanced learning challenge[J].数据科学与管理（英文）,2025,8(4):436-446,11.基金项目
This work was supported by national funds through FCT(Fundação para a Ciência e a Tecnologia),under the project-UIDB/04152/2020-Centro de Investigação em Gestão de Informação(MagIC)/NOVA IMS). （Fundação para a Ciência e a Tecnologia）
