Comparative analysis of machine learning and ensemble approaches for hepatitis B prediction using data mining with synthetic minority oversampling technique
Author:
Publisher
Springer Science and Business Media LLC
Subject
Biomedical Engineering,Applied Microbiology and Biotechnology,Bioengineering,Biotechnology
Link
https://link.springer.com/content/pdf/10.1007/s12553-023-00802-x.pdf
Reference27 articles.
1. Liang TJ. Hepatitis B: the virus and disease. Hepatology. 2009;49(5 Suppl):S13–21. https://doi.org/10.1002/hep.22881.
2. Kwon SY, Lee CH. Epidemiology and prevention of hepatitis B virus infection. Korean J. Hepatol. 2011;17(2):87–95. https://doi.org/10.3350/kjhep.2011.17.2.87.
3. World Health Organization. Hepatitis B. https://www.who.int/news-room/fact-sheets/detail/hepatitis-b, Accessed 2022-06-24.
4. Nelson NP, Easterbrook PJ, McMahon BJ. Epidemiology of hepatitis B virus infection and impact of vaccination on disease. Clin. Liver Dis. 2016;20(4):607–28. https://doi.org/10.1016/j.cld.2016.06.006.
5. Burns GS, Thompson AJ. Viral hepatitis B: clinical and epidemiological characteristics. Cold Spring Harb. Perspect. Med. 2014;4(12):a024935. https://doi.org/10.1101/cshperspect.a024935.
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