Risk factors for tuberculosis treatment outcomes: a statistical learning-based exploration using the SINAN database with incomplete observations
In conclusion, our results shed light on the potential risk factors for death during TB treatment and suggest the use of simple yet interpretable LOGIT for the prediction of TB treatment outcomes.
Authors
- Nguyen Ky Phat
- Dinh Hoa Vu (ORCID: https://orcid.org/0000-0002-7976-6716)
- Nguyen Phuoc Long (ORCID: https://orcid.org/0000-0002-4678-0546)
- Seongoh Park (ORCID: https://orcid.org/0000-0002-8510-839X)
- Gary Lee (ORCID: https://orcid.org/0000-0002-0036-511X)
Institutions
- Inje University (KR)
- Sungshin Women's University (KR)
- Chang Gung University (TW)
- Hanoi University of Pharmacy (VN)
Publication Details
- Journal
- BMC Medical Informatics and Decision Making
- Published
- 2025-08-11
- DOI
- https://doi.org/10.1186/s12911-025-03139-9
- Primary Topic
- Tuberculosis Research and Epidemiology
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Research Foundation
- National Research Foundation of Korea
- Ministry of Science and ICT, South Korea