Machine learning algorithms performed no better than regression models for prognostication in traumatic brain injury.

Journal: Journal of clinical epidemiology
Published Date: Jun 1, 2020

Abstract

OBJECTIVE: We aimed to explore the added value of common machine learning (ML) algorithms for prediction of outcome for moderate and severe traumatic brain injury.

Authors

  • Benjamin Y Gravesteijn
    Departments of Public Health, Erasmus MC - University Medical Centre Rotterdam, Postbus 2040, 3000 CA, Rotterdam, the Netherlands. Electronic address: b.gravesteijn@erasmusmc.nl.
  • Daan Nieboer
    Departments of Public Health, Erasmus MC - University Medical Centre Rotterdam, Rotterdam, the Netherlands.
  • Ari Ercole
    Division of Anaesthesia, University of Cambridge, Addenbrooke's Hospital, Cambridge, UK.
  • Hester F Lingsma
    Departments of Public Health, Erasmus MC - University Medical Centre Rotterdam, Rotterdam, the Netherlands.
  • David Nelson
    Intensive Care Unit, University Hospitals of Derby and Burton NHS Foundation Trust, Derby, UK.
  • Ben Van Calster
  • Ewout W Steyerberg
    Department of Biomedical Data Sciences, Leiden University Medical Centre, Albinusdreef 2, Leiden, 2333 ZA The Netherlands.

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