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Prediction of Optimum Treatment in Beta-Thalassemia Patients with Hepatitis C Virus Infection

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Figure

Table (1): Baseline Characteristics of Dataset Attributes Group1 p-value Group2
Table (2): Binary logistic regression for baseline factors associated with likelihood of SVR of treatment at (24 weeks)
Fig (1): shows ROC curve for predicted model of group 1 (Peg-IFN/Ribavirin) with AUC of 0.69,  sensitivity 70% and specificity about 45%
Fig (3): DT for (Peg-IF /RBV) treatment by C4.5 algorithm
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