A machine-learning-derived online prediction model for depression risk in COPD patients: A retrospective cohort study from CHARLS
We developed an online prediction platform for clinical application, allowing healthcare professionals to swiftly and efficiently evaluate the risk of depression in COPD patients, facilitating timely interventions and treatments.
Authors
- Weiliang Liu (ORCID: https://orcid.org/0000-0002-4281-0541)
- Bin Wu (ORCID: https://orcid.org/0000-0002-2305-1519)
- Yunan Wang (ORCID: https://orcid.org/0009-0008-6065-7086)
- Dong Wu (ORCID: https://orcid.org/0000-0001-9430-9874)
- Jinyu Liao
- Min Chen (ORCID: https://orcid.org/0000-0002-0140-4192)
- Jiahua Li (ORCID: https://orcid.org/0000-0003-1342-3945)
- Dongming Li (ORCID: https://orcid.org/0000-0003-2759-3435)
- Youping Qiao
- Yuting Yang (ORCID: https://orcid.org/0009-0006-6279-8152)
- Xuanna Zhao
- Dan Huang (ORCID: https://orcid.org/0009-0003-1312-917X)
Institutions
- Guangdong Medical College (CN)
- Affiliated Hospital of Guangdong Medical College Hospital (CN)
Publication Details
- Journal
- Journal of Affective Disorders
- Published
- 2025-02-21
- DOI
- https://doi.org/10.1016/j.jad.2025.02.063
- Citations
- 39
- Primary Topic
- Chronic Obstructive Pulmonary Disease (COPD) Research
- Type
- article
- Field-Weighted Citation Impact
- 59.22