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 Authors:	Edward, Jafhate; Rosli, Marshima Mohd; Seman, Ali
Format:	Article
Language:	English
Published:	UNIV PUTRA MALAYSIA PRESS 2024
Subjects:	Science & Technology - Other Topics
Online Access:	https://www-webofscience-com.uitm.idm.oclc.org/wos/woscc/full-record/WOS:001343703200011

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