Machine learning prediction model with shap interpretation for chronic bronchitis risk assessment based on heavy metal exposure: a nationally representative study
In this research, the first risk prediction diagnostic model for heavy metal-chronic bronchitis was developed, in which CatBoost model had the best performance, and it provides a referenceable prediction model for the screening of high-risk groups.
Authors
- Ting Xia (ORCID: https://orcid.org/0000-0001-5033-6248)
- K. Y. Han (ORCID: https://orcid.org/0009-0002-0562-8158)
Institutions
- Harbin Medical University (CN)
- Second Affiliated Hospital of Harbin Medical University (CN)
Publication Details
- Journal
- BMC Pulmonary Medicine
- Published
- 2025-05-22
- DOI
- https://doi.org/10.1186/s12890-025-03724-8
- Citations
- 4
- Primary Topic
- Radioactivity and Radon Measurements
- Type
- article
- Field-Weighted Citation Impact
- 6.16
Funders
- Harbin Medical University
- Second Affiliated Hospital of Harbin Medical University
- Science and Technology Department, Heilongjiang Province