Cargando…
Classification of Diabetes Using Feature Selection and Hybrid Al-Biruni Earth Radius and Dipper Throated Optimization
Introduction: In public health, machine learning algorithms have been used to predict or diagnose chronic epidemiological disorders such as diabetes mellitus, which has reached epidemic proportions due to its widespread occurrence around the world. Diabetes is just one of several diseases for which...
Autores principales: | Alhussan, Amel Ali, Abdelhamid, Abdelaziz A., Towfek, S. K., Ibrahim, Abdelhameed, Eid, Marwa M., Khafaga, Doaa Sami, Saraya, Mohamed S. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10297693/ https://www.ncbi.nlm.nih.gov/pubmed/37370932 http://dx.doi.org/10.3390/diagnostics13122038 |
Ejemplares similares
-
Classification of Breast Cancer Using Transfer Learning and Advanced Al-Biruni Earth Radius Optimization
por: Alhussan, Amel Ali, et al.
Publicado: (2023) -
Breast Cancer Classification Depends on the Dynamic Dipper Throated Optimization Algorithm
por: Alhussan, Amel Ali, et al.
Publicado: (2023) -
An Al-Biruni Earth Radius Optimization-Based Deep Convolutional Neural Network for Classifying Monkeypox Disease
por: Khafaga, Doaa Sami, et al.
Publicado: (2022) -
Improved Dipper-Throated Optimization for Forecasting Metamaterial Design Bandwidth for Engineering Applications
por: Alharbi, Amal H., et al.
Publicado: (2023) -
Al-Biruni Earth Radius Optimization with Transfer Learning Based Histopathological Image Analysis for Lung and Colon Cancer Detection
por: AlGhamdi, Rayed, et al.
Publicado: (2023)