A predictive model for evaluating the risk of latent tuberculosis relapse via machine learning
This integrative model provides a robust tool for assessing LTBI reactivation risk and supports more personalized tuberculosis management strategies.
Authors
- Hongwei Ruan (ORCID: https://orcid.org/0000-0002-6632-0803)
- Cheng Wang (ORCID: https://orcid.org/0009-0002-6231-3523)
- Xiaoling Gao (ORCID: https://orcid.org/0000-0002-5466-3200)
- Jiaxing Lin (ORCID: https://orcid.org/0000-0001-7106-5424)
- Xiaoyan Tang (ORCID: https://orcid.org/0000-0001-9199-5346)
- Wenbin Li (ORCID: https://orcid.org/0000-0001-8821-8992)
- Jingting Li (ORCID: https://orcid.org/0000-0001-8742-8488)
- Jiangtao Zhang
Institutions
- Hainan General Hospital (CN)
- Hainan Medical University (CN)
Publication Details
- Journal
- BMC Infectious Diseases
- Published
- 2025-11-03
- DOI
- https://doi.org/10.1186/s12879-025-11881-8
- Primary Topic
- Tuberculosis Research and Epidemiology
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China