Deep-kidney: an effective deep learning framework for chronic kidney disease prediction

Chronic kidney disease (CKD) is one of today’s most serious illnesses. Because this disease usually does not manifest itself until the kidney is severely damaged, early detection saves many people’s lives. Therefore, the contribution of the current paper is proposing three predictive models to predi...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	Health information science and systems 2023-12, Vol.12 (1), p.3-3, Article 3
Hauptverfasser:	Saif, Dina, Sarhan, Amany M., Elshennawy, Nada M.
Format:	Artikel
Sprache:	eng
Schlagworte:	Analysis Artificial neural networks Bioinformatics Cardiovascular disease Chronic kidney failure Computational Biology/Bioinformatics Computer Science Damage detection Datasets Deep learning Health Informatics Information Systems and Communication Service Kidney diseases Machine learning Mortality Neural networks Prediction models Voting
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!