Optimizing HCV Disease Prediction in Egypt: The hyOPTGB Framework
Ahmed M. Elshewey,
Mahmoud Y. Shams,
Sayed M. Tawfeek
et al.
Abstract:The paper focuses on the hepatitis C virus (HCV) infection in Egypt, which has one of the highest rates of HCV in the world. The high prevalence is linked to several factors, including the use of injection drugs, poor sterilization practices in medical facilities, and low public awareness. This paper introduces a hyOPTGB model, which employs an optimized gradient boosting (GB) classifier to predict HCV disease in Egypt. The model’s accuracy is enhanced by optimizing hyperparameters with the OPTUNA framework. M… Show more
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