Machine learning models for predicting unscheduled return visits to an emergency department: a scoping review

Machine learning models for predicting unscheduled return visits to an emergency department: a scoping review

Abstract Background Unscheduled return visits (URVs) to emergency departments (EDs) are used to assess the quality of care in EDs. Machine learning (ML) models can incorporate a wide range of complex predictors to identify high-risk patients and reduce errors to save time and cost. However, the accu...

Full description

Bibliographic Details
Main Authors: Yi-Chih Lee, Chip-Jin Ng, Chun-Chuan Hsu, Chien-Wei Cheng, Shou-Yen Chen
Format: Article
Language:English
Published: BMC 2024-01-01
Series:BMC Emergency Medicine
Subjects:
Unscheduled return visit
Reattendance
Machine learning
Emergency department
Online Access:https://doi.org/10.1186/s12873-024-00939-6

Internet

https://doi.org/10.1186/s12873-024-00939-6

Similar Items