Optimizing Liver Stiffness Assessment in HCV Patients: A Machine Learning Approach to Identify Confounding Factors in Fibrosis Estimation

Author:

Kresevic Simone,Giuffrè Mauro,Ajcevic Milos,Crocè Lory Saveria,Accardo Agostino

Publisher

Springer Nature Switzerland

Reference30 articles.

1. Hepatitis C. https://www.who.int/news-room/fact-sheets/detail/hepatitis-c. Accessed 03 Feb 2024

2. Dennis, B.B., Naji, L., Jajarmi, Y., Ahmed, A., Kim, D.: New hope for hepatitis C virus: summary of global epidemiologic changes and novel innovations over 20 years. World J. Gastroenterol. 27, 4818–4830 (2021)

3. Chen, Q., et al.: Changes in hepatitis C burden and treatment trends in Europe during the era of direct-acting antivirals: a modelling study. BMJ Open 9, e026726 (2019)

4. Bojanic, K., et al.: Noninvasive fibrosis assessment in chronic hepatitis C infection: an update. J. Clin. Transl. Hepatol. 11, 1228–1238 (2023)

5. Bhattacharya, D., Aronsohn, A., Price, J., Lo Re, V., AASLD-IDSA HCV guidance panel: hepatitis C guidance 2023 update: AASLD-IDSA recommendations for testing, managing, and treating hepatitis C virus infection. Clin. Infect. Dis. (2023)

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