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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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Bibliografiske detaljer
Udgivet i:Health Inf Sci Syst
Main Authors: Naseriparsa, Mehdi, Al-Shammari, Ahmed, Sheng, Ming, Zhang, Yong, Zhou, Rui
Format: Artigo
Sprog:Inglês
Udgivet: Springer International Publishing 2020
Fag:
Online adgang: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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