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

@inproceedings{Hashem2016AccuratePO,
  title={Accurate Prediction of Advanced Liver Fibrosis Using the Decision Tree Learning Algorithm in Chronic Hepatitis C Egyptian Patients},
  author={Somaya Hashem and Gamal Esmat and Wafaa Elakel and Shahira M. Habashy and Safaa Abdel Raouf and Samar Kamal Darweesh and Mohamad Soliman and Mohamed Elhefnawi and Mohamed Ibraheem Eladawy and Mahmoud ElHefnawi},
  booktitle={Gastroenterology research and practice},
  year={2016}
}
  • Somaya Hashem, Gamal Esmat, +7 authors Mahmoud ElHefnawi
  • Published in
    Gastroenterology research and…
    2016
  • Medicine
  • 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 clinical information to develop a classification model that can predict advanced liver fibrosis. Methods. 39,567 patients with chronic hepatitis C were included and randomly divided into two separate… CONTINUE READING

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