Utilization of machine learning algorithm in the prediction of rehospitalization during one-year post traumatic spinal cord injury
Functional Independence Measure (FIM) and ASIA scores emerge as key predictors of both rehospitalizations and prolonged rehospitalizations. These findings may assist clinicians in patient risk assessment. Furthermore, the identification of pressure injury as a primary predictor for prolonged stays signifies a targeted focus on preventive measures for pressure injury-related rehospitalizations, offering a specific strategy to enhance patient care and outcomes.
Authors
- Salma Aly (ORCID: https://orcid.org/0000-0002-3518-9232)
- Huacong Wen (ORCID: https://orcid.org/0000-0002-7343-2627)
- Tapan S. Mehta (ORCID: https://orcid.org/0000-0002-2016-2344)
- Abdulaziz Ahmed (ORCID: https://orcid.org/0000-0001-6081-8507)
- Yuying Chen (ORCID: https://orcid.org/0009-0003-2770-6337)
Institutions
- University of Alabama at Birmingham (US)
Publication Details
- Journal
- Spinal Cord
- Published
- 2025-02-15
- DOI
- https://doi.org/10.1038/s41393-024-01055-9
- Citations
- 2
- Primary Topic
- Spinal Cord Injury Research
- Type
- article
- Field-Weighted Citation Impact
- 2.94
Funders
- Nutrition Obesity Research Center, University of North Carolina
- National Institute on Disability, Independent Living, and Rehabilitation Research