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Counterfactual synthetic minority oversampling technique:solving healthcare's imbalanced learning challengeOACSCD
Counterfactual synthetic minority oversampling technique:solving healthcare's imbalanced learning challenge
Goncalo Almeida;Fernando Bacao
NOVA Information Management School(NOVA IMS),Universidade Nova de Lisboa,Campus de Campolide,1070-312,Lisboa,PortugalNOVA Information Management School(NOVA IMS),Universidade Nova de Lisboa,Campus de Campolide,1070-312,Lisboa,Portugal
Imbalanced learningOversamplingCounterfactual generationMachine learning(ML)Synthetic minority oversampling technique(SMOTE)
Imbalanced learningOversamplingCounterfactual generationMachine learning(ML)Synthetic minority oversampling technique(SMOTE)
《数据科学与管理（英文）》 2025 (4)
436-446,11
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).
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