OrthoMortPred: Predicting one-year mortality following orthopedic hospitalization.

Journal: International journal of medical informatics
PMID: 39427386

Abstract

OBJECTIVE: Predicting mortality risk following orthopedic surgery is crucial for informed decision-making and patient care. This study aims to develop and validate a machine learning model for predicting one-year mortality risk after orthopedic hospitalization and to create a personalized risk prediction tool for clinical use.

Authors

  • Filipe Ricardo Carvalho
    Faculty of Medicine and Biomedical Sciences, University of Algarve, Faro, Portugal; Centre of Marine Sciences (CCMAR/CIMAR LA), University of Algarve, Faro, Portugal; University of Algarve - Campus de Gambelas, Faro 8005-139, Portugal. Electronic address: frcarvalho@ualg.pt.
  • Paulo Jorge Gavaia
    Faculty of Medicine and Biomedical Sciences, University of Algarve, Faro, Portugal; Centre of Marine Sciences (CCMAR/CIMAR LA), University of Algarve, Faro, Portugal; University of Algarve - Campus de Gambelas, Faro 8005-139, Portugal.
  • António Brito Camacho
    Faculty of Medicine and Biomedical Sciences, University of Algarve, Faro, Portugal; Central Lisbon University Hospital Center, CRI-Orthopedic Traumatology, Lisboa, Portugal.

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