A New Multi-Class Rebalancing Framework for Imbalance Medical Data

Class imbalance exists in many data domains, posing numerous challenges to the data research community. Medical datasets, in most cases, are predominantly imbalanced in nature. Through tackling multi-class issues, most researchers preferred the conventional method of decomposing it into binary class...

Full beskrivning

Bibliografiska uppgifter

Huvudupphov:	Jafhate Edward, Marshima Mohd Rosli, Ali Seman
Materialtyp:	Artigo
Språk:	Inglês
Utgiven:	IEEE 2023-01-01
Serie:	IEEE Access
Ämnen:	Imbalanced data medical data rebalancing framework multi-class classification prediction
Länkar:	https://ieeexplore.ieee.org/document/10233687/
Taggar:	Lägg till en tagg Inga taggar, Lägg till första taggen!