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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Vydané v:	Diagnostics (Basel) Ročník 13; číslo 22; s. 3439
Hlavní autori:	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
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Basel MDPI AG 01.11.2023
Predmet:	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
On-line prístup:	Získať plný text
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