Predicting Superaverage Length of Stay in COPD Patients with Hypercapnic Respiratory Failure Using Machine Learning
The Catboost model has the most advantages and can be used for clinical evaluation and patient monitoring.
Authors
- H. Hu (ORCID: https://orcid.org/0000-0001-7748-1517)
- Zhixiao Sun (ORCID: https://orcid.org/0000-0002-7364-235X)
- Zhongxiang Liu
- Jin Li (ORCID: https://orcid.org/0000-0001-9201-2321)
- Shuanying Yang (ORCID: https://orcid.org/0000-0002-9676-9302)
- Yuan Yin (ORCID: https://orcid.org/0000-0001-9654-7374)
- Bingqing Zuo
Institutions
- Jiangsu Province Hospital (CN)
- Nanjing Medical University (CN)
Publication Details
- Journal
- Journal of Inflammation Research
- Published
- 2025-05-01
- DOI
- https://doi.org/10.2147/jir.s511092
- Primary Topic
- Chronic Obstructive Pulmonary Disease (COPD) Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00