RSMOTE: improving classification performance over imbalanced medical datasets

Journal article

Peer reviewed

Mehdi Naseriparsa, Ahmed Al-Shammari, Ming Sheng, Yong Zhang and Rui Zhou

Health information science and systems, Vol.8(1), pp.22-22

01/12/2020

PMID: 32549976

Abstract

Class mixture

Classification performance

Imbalanced learning

Medical diagnosis

SMOTE

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Title: RSMOTE: improving classification performance over imbalanced medical datasets
Creators - without role: Mehdi Naseriparsa - Swinburne University of Technology
Ahmed Al-Shammari - Swinburne University of Technology
Ming Sheng - Tsinghua University
Yong Zhang - Tsinghua University
Rui Zhou - Swinburne University of Technology
Publication Details: Health information science and systems, Vol.8(1), pp.22-22
Publisher: Springer International Publishing
Identifiers: 9919245208331
Academic Unit: King Abdulaziz University; Northern Borders University
Language: English
Resource Type: Journal article