A multicenter mixed-effects model for inference and prediction of 72-h return visits to the emergency department for adult patients with trauma-related diagnoses.

Journal: Journal of orthopaedic surgery and research
Published Date: Aug 14, 2020

Abstract

OBJECTIVE: Emergency department (ED) return visits within 72 h may be a sign of poor quality of care and entail unnecessary use of healthcare resources. In this study, we compare the performance of two leading statistical and machine learning classification algorithms, and we use the best performing approach to identify novel risk factors of ED return visits.

Authors

  • Ehsan Yaghmaei
    CHOC Children's, Orange, CA, 92868, USA.
  • Louis Ehwerhemuepha
    CHOC Children's, Orange, CA, 92868, USA. lehwerhemuepha@choc.org.
  • William Feaster
    CHOC Children's, Orange, CA, 92868, USA.
  • David Gibbs
    CHOC Children's, Orange, CA, 92868, USA.
  • Cyril Rakovski
    Schmid College of Science & Technology, Chapman University, Orange, CA, USA.

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