Optimizing HCV Disease Prediction in Egypt: The hyOPTGB Framework

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 pape...

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Veröffentlicht in:	Diagnostics (Basel) Jg. 13; H. 22; S. 3439
Hauptverfasser:	Elshewey, Ahmed M., Shams, Mahmoud Y., Tawfeek, Sayed M., Alharbi, Amal H., Ibrahim, Abdelhameed, Abdelhamid, Abdelaziz A., Eid, Marwa M., Khodadadi, Nima, Abualigah, Laith, Khafaga, Doaa Sami, Tarek, Zahraa
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Basel MDPI AG 01.11.2023
Schlagworte:	Accuracy Algorithms Biopsy Blood Classification Datasets Disease Feature selection Forecasts and trends Genotype & phenotype gradient boosting (GB) Hepatitis C Hepatitis C virus hepatitis C virus (HCV) hyperparameters Infection Infections Inflammation Liver cancer Liver cirrhosis Machine learning Medical research Medicine, Experimental Optimization OPTUNA Egypt Taiwan
ISSN:	2075-4418, 2075-4418
Online-Zugang:	Volltext
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