Machine learning and SHAP values explain the association between social determinants of health and post-stroke depression
Bibliographic Data
| ID | 15380630 |
|---|---|
| Authors | Zhiwei Song (0009-0004-5732-8194, Fujian Medical University), Jia Weng (0000-0002-6976-2375, Fujian Provincial Hospital), Jilin Weng, Yupeng Han (0009-0005-9905-5080, Fujian Medical University), Wangyu Li (0000-0003-2436-053X, First Affiliated Hospital of Fujian Medical University), Yiya Xu (Fujian Medical University), Yu-Li He (Fujian Medical University), Yingchao He, Yinzhou Wang (0000-0002-9595-2244, Fujian Medical University, corresponding author) |
| Year | 2025 |
| Volume | 25 |
| Issue | 1 |
| Pages | 2868-2868 |
| Publication date | 2025-08-21 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | BMC Public Health (JOURNAL) |
| Journal identifiers | ISSN: 1471-2458 • E-ISSN: 1471-2458 |
| Publisher | BioMed Central (PUBLISHER • GB) |
| DOI | 10.1186/s12889-025-24220-y |
| PMID | 40841950 |
| OpenAlex | W4413384659 |
| Language | EN |
| References cited | 32 |
A linear relationship exists between SDoH and PSD, with CatBoost demonstrating the best performance in predicting PSD. SHAP values emphasize the importance of SDoH
Association (psychology · Biostatistics · Depression (economics · Environmental health · Pathology · Public health · Social determinants of health · Stroke (engine · Artificial Intelligence in Healthcare · Artificial Intelligence in Healthcare and Education · Healthcare Systems and Public Health · Medicine · Psychology · Epidemiology · Gerontology · Internal Medicine
| Citation velocity | historical |
|---|---|
| Highly cited | No |