OrthoMortPred: Predicting one-year mortality following orthopedic hospitalization
Our study presents a highly accurate model for predicting one-year mortality following orthopedic hospitalization. The significance of 'EMERGENCY ADMISSION DATE TIME' as the primary predictor highlights the importance of admission timing in patient outcomes. The accompanying personalized risk prediction tool offers a practical means of implementing this model in clinical settings, potentially improving risk stratification and patient care in orthopedic practice.
Authors
- Paulo J. Gavaia (ORCID: https://orcid.org/0000-0002-9582-1957)
- António Camacho (ORCID: https://orcid.org/0000-0002-7914-4538)
- Filipe Ricardo Carvalho (ORCID: https://orcid.org/0000-0002-1468-0305)
Institutions
- Algarve Biomedical Center (PT)
- University of Algarve (PT)
Publication Details
- Journal
- International Journal of Medical Informatics
- Published
- 2024-10-18
- DOI
- https://doi.org/10.1016/j.ijmedinf.2024.105657
- Citations
- 2
- Primary Topic
- Emergency and Acute Care Studies
- Type
- article
- Field-Weighted Citation Impact
- 1.38
Funders
- Fundação para a Ciência e a Tecnologia