About | Contact Us | Register | Login
ProceedingsSeriesJournalsSearchEAI
Big Data Technologies and Applications. 11th and 12th EAI International Conference, BDTA 2021 and BDTA 2022, Virtual Event, December 2021 and 2022, Proceedings

Research Article

Diagnosis Hepatitis B Using Machine and Deep Learning: Survey

Cite
BibTeX Plain Text
  • @INPROCEEDINGS{10.1007/978-3-031-33614-0_8,
        author={Gehad Ahmed Soltan Abd-Elaleem and Fahad Elsheref and Rabab Maher and Ahmed Elsayed and Doaa S. Elzanfaly and Ahmed Sharaf Eldin},
        title={Diagnosis Hepatitis B Using Machine and Deep Learning: Survey},
        proceedings={Big Data Technologies and Applications. 11th and 12th EAI International Conference, BDTA 2021 and BDTA 2022, Virtual Event, December 2021 and 2022, Proceedings},
        proceedings_a={BDTA},
        year={2023},
        month={5},
        keywords={Artificial Intelligence Hepatitis B Liver Diseases Machine Learning Deep Learning DL AI HBV HCV HCC ML},
        doi={10.1007/978-3-031-33614-0_8}
    }
    
  • Gehad Ahmed Soltan Abd-Elaleem
    Fahad Elsheref
    Rabab Maher
    Ahmed Elsayed
    Doaa S. Elzanfaly
    Ahmed Sharaf Eldin
    Year: 2023
    Diagnosis Hepatitis B Using Machine and Deep Learning: Survey
    BDTA
    Springer
    DOI: 10.1007/978-3-031-33614-0_8
Gehad Ahmed Soltan Abd-Elaleem1,*, Fahad Elsheref1, Rabab Maher2, Ahmed Elsayed1, Doaa S. Elzanfaly1, Ahmed Sharaf Eldin1
  • 1: Faculty of Computers and Artificial Intelligence
  • 2: Student’s Hospital, Fellow of Tropical Medicine
*Contact email: eng.gehadahmed2013@yahoo.com

Abstract

Machine Learning (ML) improves healthcare systems by helping to reach a proper diagnosis and reducing the diagnosis faults such as severe illness, cancer, inflammatory diseases, other diseases, and pathology. Many studies found that ML-based systems can be better than humans in more critical tasks. The study of liver disease diagnosis is very important, especially the diagnosis of hepatic virus diseases, which are among the most problems facing the liver, particularly Hepatitis B, as this virus is ranked by the World Health Organization (WHO) as the second most dangerous carcinogen in the world, after tobacco. Therefore, it is crucial to identify this harmful virus as soon as possible. As a result, the field of machine learning has focused on the early detection of Liver Hepatitis, particularly virus B. In this paper, we surveyed machine and deep-learning liver disease diagnosis, particularly hepatitis B, and we demonstrated the findings of previous experimental studies and results, as well as the limitations and future work that is suggested in this area.

Keywords
Artificial Intelligence Hepatitis B Liver Diseases Machine Learning Deep Learning DL AI HBV HCV HCC ML
Published
2023-05-26
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-031-33614-0_8
Copyright © 2021–2025 ICST
EBSCOProQuestDBLPDOAJPortico
EAI Logo

About EAI

  • Who We Are
  • Leadership
  • Research Areas
  • Partners
  • Media Center

Community

  • Membership
  • Conference
  • Recognition
  • Sponsor Us

Publish with EAI

  • Publishing
  • Journals
  • Proceedings
  • Books
  • EUDL