How machine learning facilitates decision making in emergency departments: Modelling diagnostic test orders
Author:
Affiliation:
1. Department of Business Yaşar University Izmir Turkey
2. Department of Emergency Medicine Çiğli Training and Research HospitalBakırçay University Izmir Turkey
Publisher
Hindawi Limited
Subject
General Medicine
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1111/ijcp.14980
Reference38 articles.
1. EMERGENCY DEPARTMENT (ED) OVERCROWDING: EVIDENCE-BASED ANSWERS TO FREQUENTLY ASKED QUESTIONS
2. Turkish Statistical Institute.Population statistics for Turkey. Accessed 09.10.2019.
3. Analyzing main and interaction effects of length of stay determinants in emergency departments;Sarıyer G;Int J Health Policy,2020
4. Highlighting the rules between diagnosis types and laboratory diagnostic tests for patients of an emergency department: Use of association rule mining
5. Big data: the management revolution;McAfee A;Harv Bus Rev,2012
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3. Main Features and Control Strategies to Reduce Overcrowding in Emergency Departments: A Systematic Review of the Literature;Risk Management and Healthcare Policy;2023-02
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