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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Egile Nagusiak:	Dina Saif, Amany M. Sarhan, Nada M. Elshennawy
Formatua:	Artigo
Hizkuntza:	Inglês
Argitaratua:	SpringerOpen 2024-04-01
Saila:	Journal of Electrical Systems and Information Technology
Gaiak:	Chronic kidney disease CKD CKD prediction Health risk prediction Deep ensemble Deep learning
Sarrera elektronikoa:	https://doi.org/10.1186/s43067-024-00142-4
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