Development and validation of a prediction model for coronary heart disease risk in depressed patients aged 20 years and older using machine learning algorithms
The random forest algorithm exhibited the best predictive performance, potentially aiding clinicians in assessing the risk probabilities of coronary heart disease within this population.
Authors
- Hongliang Fu
- C.H. Wu (ORCID: https://orcid.org/0000-0003-1259-4048)
- Yicheng Wang (ORCID: https://orcid.org/0000-0001-5560-5494)
- Jiancheng Zhang (ORCID: https://orcid.org/0000-0002-0821-1350)
Institutions
- Fujian Medical University (CN)
- People's Hospital of Xinjiang Uygur Autonomous Region (CN)
- Fujian Provincial Hospital (CN)
- Fuzhou University (CN)
Publication Details
- Journal
- Frontiers in Cardiovascular Medicine
- Published
- 2025-01-09
- DOI
- https://doi.org/10.3389/fcvm.2024.1504957
- Citations
- 2
- Primary Topic
- Cardiac Health and Mental Health
- Type
- article
- Field-Weighted Citation Impact
- 2.78