Construction of a severity prediction model for hospitalized patients with acute exacerbation of chronic obstructive pulmonary disease based on machine learning
The disease grading prediction model of AECOPD inpatients constructed based on clinical data and muscle imaging omics characteristics has good performance, and has great potential in assisting clinicians to more accurately stratify the risk of AECOPD inpatients.
Authors
- Shiyuan Gao
- Fengmei Li
- Zhe Ye
- Zian Liu
- Yiwen Huang
- Chen Geng
- Jiahui Yuan
- Qiong Pan
- Yixin Lian
Institutions
- Soochow University (CN)
- Suzhou Institute of Biomedical Engineering and Technology (CN)
- Second Affiliated Hospital of Soochow University (CN)
- Changchun University of Technology (CN)
Publication Details
- Journal
- European journal of medical research
- Published
- 2025-12-27
- DOI
- https://doi.org/10.1186/s40001-025-03601-4
- Primary Topic
- Chronic Obstructive Pulmonary Disease (COPD) Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00