Application of Machine Learning Algorithms in Predicting Hepatitis C

Author:

Wang Yunchuan1ORCID,Yin Baohua2ORCID,Zhu Qiang2ORCID

Affiliation:

1. Department of Economics, University of California-Irvine, USA

2. Whitehorse International Group, China

Publisher

ACM

Reference40 articles.

1. Yager E J Konan K V. Sphingolipids as potential therapeutic targets against enveloped human RNA viruses[J]. Viruses. 2019; 11(10): 912.

2. Lozano R, Naghavi M, Foreman K, Global and regional mortality from 235 causes of death for 20 age groups in 1990 and 2010: a systematic analysis for the global burden of disease study 2010[J]. The Lancet. 2012; 380(9859): 2095-2128.

3. Vos T, Barber R M, Bell B, Global, regional, and national incidence, prevalence, and years lived with disability for 301 acute and chronic diseases and injuries in 188 countries, 1990–2013: a systematic analysis for the global burden of disease study 2013[J]. The Lancet. 2015; 386(9995): 743-800.

4. Strategies to control hepatitis B: Public policy, epidemiology, vaccine and drugs

5. World Health Organization. Guidelines for the care and treatment of persons diagnosed with chronic hepatitis C virus infection[M]. World Health Organization, 2018.

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