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

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

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 pe...

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Bibliographic Details
Main Authors: Ehsan Yaghmaei, Louis Ehwerhemuepha, William Feaster, David Gibbs, Cyril Rakovski
Format: Article
Language:English
Published: BMC 2020-08-01
Series:Journal of Orthopaedic Surgery and Research
Subjects:
Emergency department
Return visits
Trauma
Adult medicine
Online Access:http://link.springer.com/article/10.1186/s13018-020-01863-8

Internet

http://link.springer.com/article/10.1186/s13018-020-01863-8

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