Machine Learning Methods for Predicting Patient-Level Emergency Department Workload-Reference-Cited by-同舟云学术

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Machine Learning Methods for Predicting Patient-Level Emergency Department Workload

Published:2023-01 Issue:1 Volume:64 Page:83-92
ISSN:0736-4679
Container-title:The Journal of Emergency Medicine
language:en
Short-container-title:The Journal of Emergency Medicine

Author:

Joseph Joshua W.^ORCID,Leventhal Evan L.,Grossestreuer Anne V.,Chen Paul C.,White Benjamin A.,Nathanson Larry A.,Elhadad Noémie,Sanchez Leon D.

Publisher

Elsevier BV

Subject

Emergency Medicine

Reference30 articles.

1. Emergency department rotational patient assignment;Traub;Ann Emerg Med,2016

2. Patient assignment models in the emergency department;Hodgson;Emerg Med Clin North Am,2020

3. Emergency severity index triage system correlation with emergency department evaluation and management billing codes and total professional charges;Wiler;Acad Emerg Med,2011

4. Accuracy of the emergency severity index triage instrument for identifying elder emergency department patients receiving an immediate life-saving intervention;Platts-Mills;Acad Emerg Med,2010

5. Accuracy and reliability of emergency department triage using the emergency severity index: an international multicenter assessment;Mistry;Ann Emerg Med,2018

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. An ensemble model for predicting dispositions of emergency department patients;BMC Medical Informatics and Decision Making;2024-04-22

2. The Effect of using Dimensionality Reduction Compared with Type of Algorithm on Detecting Patient Fall: Triage Case Study;2024-02-21

3. Enhanced neural network-based attack investigation framework for network forensics: Identification, detection, and analysis of the attack;Computers & Security;2023-12

4. Race and Ethnicity and Primary Language in Emergency Department Triage;JAMA Network Open;2023-10-12

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