An intelligent ensemble machine learning model for early detection of chronic kidney disease in aging populations

Chronic Kidney Disease (CKD) remains a pressing global public health concern, accounting for approximately 1.7 million deaths annually and disproportionately affecting aging and underserved populations. The increasing burden of CKD, particularly in low-resource settings, underscores the urgent need...

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Autores principales:	Iftikhar, Hasnain, Hashem, Atef F., Mohamud, Liban Ali, Al-Moisheer, A. S., Gonzales Medina, Ronny Ivan, López Gonzales, Javier Linkolk
Formato:	Artículo
Lenguaje:	inglés
Publicado:	2026
Materias:	Chronic Kidney Disease Machine Learning Imbalanced Data Ensemble Learning Aging Populations Smote Early Disease Prediction Biomedical Decision Support Systems Sustainability Development Goal Low-Resource Healthcare Settings Clinical Data Analytics
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