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.

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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

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article

OrthoMortPred: Predicting one-year mortality following orthopedic hospitalization

Paulo J. Gavaia, António Camacho, Filipe Ricardo Carvalho
2 citations
International Journal of Medical Informatics
Emergency and Acute Care Studies
1.38
article

OrthoMortPred: Predicting one-year mortality following orthopedic hospitalization

Paulo J. Gavaia, António Camacho, Filipe Ricardo Carvalho
article en
2 citations

Abstract

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.

International Journal of Medical InformaticsVol. 192
Algarve Biomedical Center (PT), University of Algarve (PT)
Fundação para a Ciência e a Tecnologia
Good health and well-being
Openalex Percentile: Top 17%
Emergency and Acute Care Studies
1.38
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