A Comprehensive Analysis of a Framework for Rebalancing Imbalanced Medical Data Using an Ensemble-based Classifier

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A Comprehensive Analysis of a Framework for Rebalancing Imbalanced Medical Data Using an Ensemble-based Classifier

In medical data, addressing imbalanced datasets is paramount for accurate predictive modeling. This paper delves into exploring a well-established rebalancing framework proposed in previous research. While acknowledged for its effectiveness, the adaptability of this framework across diverse medical...

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Bibliographic Details
Published in:	Pertanika Journal of Science and Technology
Main Author:	Edward J.; Rosli M.M.; Seman A.
Format:	Article
Language:	English
Published:	Universiti Putra Malaysia Press 2024
Online Access:	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85208580021&doi=10.47836%2fpjst.32.6.12&partnerID=40&md5=2b5c658a4698f7fd6d4ba6976d559ed0

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