Data-driven explainable chronic kidney disease detection using RF based data imputation and meta-ensemble learning

Abstract Chronic kidney disease (CKD) is a progressive medical condition with significant public health impact, where early detection is critical for effective intervention. This work presents a clearly defined and structured data-driven framework designed to improve CKD prediction through robust pr...

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Autores principales:	Rupal Gupta, Shalini Gambhir, Ondrej Krejcar, Achin Jain, Arvind Panwar, Shakir Khan, Hamidreza Namazi
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	Nature Portfolio 2026-03-01
Colección:	Scientific Reports
Materias:	Chronic kidney disease Class imbalance SMOTE Random forest imputation Ensemble learning Grey wolf optimizer
Acceso en línea:	https://doi.org/10.1038/s41598-026-41425-2
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