- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
1 Online-Ressource.
- Language
-
Englisch
- Bibliographic citation
-
Pediatric diabetes prediction using deep learning ; volume:14 ; number:1 ; day:20 ; month:2 ; year:2024 ; pages:1-20 ; date:12.2024
Scientific reports ; 14, Heft 1 (20.2.2024), 1-20, 12.2024
- Classification
-
Ingenieurwissenschaften und Maschinenbau
- Creator
-
El-Bashbishy, Abeer El-Sayyid
El-Bakry, Hazem M.
- Contributor
-
SpringerLink (Online service)
- DOI
-
10.1038/s41598-024-51438-4
- URN
-
urn:nbn:de:101:1-2404291024219.991962609377
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
14.08.2025, 10:59 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- El-Bashbishy, Abeer El-Sayyid
- El-Bakry, Hazem M.
- SpringerLink (Online service)
Other Objects (12)
Comparative performance analysis of quantum machine learning with deep learning for diabetes prediction
Future prediction with deep learning
A novel hybrid deep learning model for early stage diabetes risk prediction
Utilizing fog computing and explainable deep learning techniques for gestational diabetes prediction
Prediction of gestational diabetes based on explainable deep learning and fog computing
Deep Learning for Musculoskeletal Force Prediction
Deep learning prediction of amplitude death
Retraction Note: Prediction of gestational diabetes based on explainable deep learning and fog computing
Conceptualisation of Cyberattack prediction with deep learning
Deep learning methods for protein function prediction
Shrink–swell index prediction through deep learning
DeepNAPSI multi-reader nail psoriasis prediction using deep learning
Comparative performance analysis of quantum machine learning with deep learning for diabetes prediction
Future prediction with deep learning
A novel hybrid deep learning model for early stage diabetes risk prediction
Utilizing fog computing and explainable deep learning techniques for gestational diabetes prediction
Prediction of gestational diabetes based on explainable deep learning and fog computing
Deep Learning for Musculoskeletal Force Prediction
Deep learning prediction of amplitude death
Retraction Note: Prediction of gestational diabetes based on explainable deep learning and fog computing
Conceptualisation of Cyberattack prediction with deep learning
Deep learning methods for protein function prediction
Shrink–swell index prediction through deep learning
DeepNAPSI multi-reader nail psoriasis prediction using deep learning
Comparative performance analysis of quantum machine learning with deep learning for diabetes prediction
Future prediction with deep learning
A novel hybrid deep learning model for early stage diabetes risk prediction
Utilizing fog computing and explainable deep learning techniques for gestational diabetes prediction
Prediction of gestational diabetes based on explainable deep learning and fog computing
Deep Learning for Musculoskeletal Force Prediction
Deep learning prediction of amplitude death
Retraction Note: Prediction of gestational diabetes based on explainable deep learning and fog computing
Conceptualisation of Cyberattack prediction with deep learning
Deep learning methods for protein function prediction
Shrink–swell index prediction through deep learning