Improving Hepatitis B outcome prediction with ensemble machine learning: A study on predictive models and interpretability
These insights provide healthcare professionals and policymakers with valuable information to develop predicting better patient outcomes in HBV infection and patient care strategies.
Authors
- Farhadul Islam (ORCID: https://orcid.org/0000-0001-5262-4702)
- Md. Ashraf Uddin (ORCID: https://orcid.org/0000-0002-4316-4975)
- Khandaker Mohammad Mohi Uddin (ORCID: https://orcid.org/0000-0002-5401-0437)
- Md Nahid Hasan (ORCID: https://orcid.org/0000-0002-0463-601X)
- Abid Bin Ahosan
Institutions
- Deakin University (AU)
- Dhaka International University (BD)
- Southeast University (BD)
Publication Details
- Journal
- Digital Health
- Published
- 2025-05-01
- DOI
- https://doi.org/10.1177/20552076251350755
- Citations
- 1
- Primary Topic
- Hepatitis B Virus Studies
- Type
- article
- Field-Weighted Citation Impact
- 1.35