CrossRef Text and Data Mining
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Prediction and Staging of Hepatic Fibrosis in Children with Hepatitis C Virus: A Machine Learning Approach
Nahla H. Barakat, Sana H. Barakat, Nadia Ahmed
Healthc Inform Res. 2019;25(3):173-181.   Published online July 31, 2019
DOI: https://doi.org/10.4258/hir.2019.25.3.173

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Prediction and Staging of Hepatic Fibrosis in Children with Hepatitis C Virus: A Machine Learning Approach
Healthcare Informatics Research. 2019;25(3):173   Crossref logo
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Hepatic Fibrosis in Hepatitis C
Hepatitis C Virus II. 2016;79-108   Crossref logo
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Serum microRNAs as predictors for liver fibrosis staging in hepatitis C virus-associated chronic liver disease patients
Journal of Viral Hepatitis. 2017;24(8):636-644   Crossref logo
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Diagnosis and staging of fibrosis in patients with chronic hepatitis C: comparison and critical overview of current strategies
Hepatic Medicine: Evidence and Research. 2018;Volume 10:13-22   Crossref logo
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Accuracy of liver surface nodularity quantification on MDCT for staging hepatic fibrosis in patients with hepatitis C virus
Abdominal Radiology. 2018;43(11):2980-2986   Crossref logo
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Fas-mediated hepatocyte apoptosis is increased by hepatitis C virus infection and alcohol consumption, and may be associated with hepatic fibrosis: mechanisms of liver cell injury in chronic hepatitis C virus infection
Journal of Viral Hepatitis. 2001;8(6):406-413   Crossref logo
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A comparison of machine learning algorithms for the prediction of Hepatitis C NS3 protease cleavage sites
The EuroBiotech Journal. 2019;3(4):167-174   Crossref logo
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A Machine Learning Approach for MicroRNA Precursor Prediction in Retro-transcribing Virus Genomes
Journal of Integrative Bioinformatics. 2016;13(5):   Crossref logo
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An Inductive Learning Approach to Prognostic Prediction
Machine Learning Proceedings 1995. 1995;522-530   Crossref logo
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Hepatic fibrosis in children and adults
Clinical Liver Disease. 2017;9(4):99-101   Crossref logo
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