Optimizing Clinical Diabetes Diagnosis through Generative Adversarial Networks: Evaluation and Validation
Antonio García-Domínguez,
Carlos E. Galván-Tejada,
Rafael Magallanes-Quintanar
et al.
Abstract: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 intelligence and data science for streamlining and enhancing T2D diagnosis is well-recognized; however, these advancements are frequently constrained by the limited availability of comprehensive patient datasets. To mitigat… Show more
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