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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Hlavní autoři:	Dina Saif, Amany M. Sarhan, Nada M. Elshennawy
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	SpringerOpen 2024-04-01
Edice:	Journal of Electrical Systems and Information Technology
Témata:	Chronic kidney disease CKD CKD prediction Health risk prediction Deep ensemble Deep learning
On-line přístup:	https://doi.org/10.1186/s43067-024-00142-4
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