Enhancing readmission prediction model in older stroke patients by integrating insight from readiness for hospital discharge: Prospective cohort study
The RF model shows promise for predicting unplanned 30-day readmissions in older patients with IS. Multi-center studies with larger sample sizes are needed to validate these findings.
Authors
- Yajie Zhao (ORCID: https://orcid.org/0000-0002-2416-796X)
- Quanying WU
- Huixiu Hu (ORCID: https://orcid.org/0000-0002-2570-0551)
- Ying Deng (ORCID: https://orcid.org/0000-0003-1204-2753)
- Chao Sun (ORCID: https://orcid.org/0000-0002-0051-4453)
- Jie Liu (ORCID: https://orcid.org/0000-0002-6862-4085)
Institutions
- Chinese Academy of Medical Sciences & Peking Union Medical College (CN)
Publication Details
- Journal
- International Journal of Medical Informatics
- Published
- 2025-02-22
- DOI
- https://doi.org/10.1016/j.ijmedinf.2025.105845
- Citations
- 2
- Primary Topic
- Acute Ischemic Stroke Management
- Type
- article
- Field-Weighted Citation Impact
- 2.71