Early prediction of chronic kidney disease based on ensemble of deep learning models and optimizers

Early prediction of chronic kidney disease based on ensemble of deep learning models and optimizers

Abstract Recent studies have proven that data analytics may assist in predicting events before they occur, which may impact the outcome of current situations. In the medical sector, it has been utilized for predicting the likelihood of getting a health condition such as chronic kidney disease (CKD)....

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Bibliographic Details
Main Authors: Dina Saif, Amany M. Sarhan, Nada M. Elshennawy
Format: Article
Language:English
Published: SpringerOpen 2024-04-01
Series:Journal of Electrical Systems and Information Technology
Subjects:
Chronic kidney disease
CKD
CKD prediction
Health risk prediction
Deep ensemble
Deep learning
Online Access:https://doi.org/10.1186/s43067-024-00142-4

Internet

https://doi.org/10.1186/s43067-024-00142-4

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