Accurate Prediction of Advanced Liver Fibrosis Using the Decision Tree Learning Algorithm in Chronic Hepatitis C Egyptian Patients

Accurate Prediction of Advanced Liver Fibrosis Using the Decision Tree Learning Algorithm in Chronic Hepatitis C Egyptian Patients

Background/Aim. Respectively with the prevalence of chronic hepatitis C in the world, using noninvasive methods as an alternative method in staging chronic liver diseases for avoiding the drawbacks of biopsy is significantly increasing. The aim of this study is to combine the serum biomarkers and cl...

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Main Authors: Somaya Hashem, Gamal Esmat, Wafaa Elakel, Shahira Habashy, Safaa Abdel Raouf, Samar Darweesh, Mohamad Soliman, Mohamed Elhefnawi, Mohamed El-Adawy, Mahmoud ElHefnawi
Format: Article
Language:English
Published: Wiley 2016-01-01
Series:Gastroenterology Research and Practice
Online Access:http://dx.doi.org/10.1155/2016/2636390
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