Machine learning to identify attributes that predict patients who leave without being seen in a pediatric emergency department.
Purpose: To characterize patients who left without being seen (LWBS) from a Canadian pediatric Emergency Department (ED) and create predictive models using machine learning to identify key attributes associated with LWBS. Methods: We analyzed administrative ED data from April 1, 2017, to March 31, 2...
| Publicado en: | CJEM: Canadian Journal of Emergency Medicine Vol. 25; no. 8; pp. 689 - 695 |
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| Autores principales: | , , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Springer Nature
Aug2023
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| Acceso en línea: | Ver este registro en EBSCOhost |