Prediction of emergency department patient disposition based on natural language processing of triage notes
Author:
Publisher
Elsevier BV
Subject
Health Informatics
Reference28 articles.
1. Impact of delayed transfer of critically ill patients from the emergency department to the intensive care unit;Chalfin;Crit. Care Med.,2007
2. Solutions to emergency department “boarding” and crowding are underused and may need to be legislated;Rabin;Health Aff.,2012
3. Access block and emergency department overcrowding;Forero;Crit. Care,2011
4. Machine learning–Based prediction of clinical outcomes for children during emergency department triage;Camargo;JAMA Netw. Open.,2019
5. Progressive prediction of hospitalisation in the emergency department: uncovering hidden patterns to improve patient flow;Barak-Corren;Emerg. Med. J.,2017
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