Optimizing Clinical Diabetes Diagnosis through Generative Adversarial Networks: Evaluation and Validation

The escalating prevalence of Type 2 Diabetes (T2D) represents a substantial burden on global healthcare systems, especially in regions such as Mexico. Existing diagnostic techniques, although effective, often require invasive procedures and labor-intensive efforts. The promise of artificial intellig...

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Detalles Bibliográficos
Autores principales: García-Domínguez, Antonio, Galván-Tejada, Carlos E., Magallanes-Quintanar, Rafael, Cruz, Miguel, Gonzalez-Curiel, Irma, Delgado-Contreras, J. Rubén, Soto-Murillo, Manuel A., Celaya-Padilla, José M., Galván-Tejada, Jorge I.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10594466/
https://www.ncbi.nlm.nih.gov/pubmed/37873778
http://dx.doi.org/10.3390/diseases11040134

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10594466/
https://www.ncbi.nlm.nih.gov/pubmed/37873778
http://dx.doi.org/10.3390/diseases11040134

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