A Comparative Machine Learning Approaches for Patient Flow Forecasting in an Emergency Department during the COVID-19-Reference-Cited by-同舟云学术

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A Comparative Machine Learning Approaches for Patient Flow Forecasting in an Emergency Department during the COVID-19

Published:2022-05-25 Issue: Volume: Page:
ISSN:
Container-title:2022 14th International Colloquium of Logistics and Supply Chain Management (LOGISTIQUA)
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Author:

Hamzaoui Imen¹,Bouzir Aida²,Benammou Saloua¹

Affiliation:

1. Faculté des Sciences Economiques et de Gestion de Sousse Tunisie

2. Institut Superieur de Transport et de la Logistique de Sousse Tunisie

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9938018/9938019/09938025.pdf?arnumber=9938025

Reference38 articles.

1. Towards A Fuzzy Rule-Based Approach for Patient Flow Management in Emergency Department During the COVID-19: Sahloul Hospital Case Study, Tunisia

2. Preventing 30- day hospital readmissions: a systematic review and meta-analysis of randomized trials;leppin;JAMA Intern Med,2014

3. Using Machine Learning to Predict 30-Day Hospital Readmissions in Patients with Atrial Fibrillation Undergoing Catheter Ablation

4. of emergency department readmission prediction;Neural Comput Appl,0

5. Predictive Modeling of the Hospital Readmission Risk from Patients’ Claims Data U sing Machine Learning: A Case Study on COPD;min;Sci Rep 2019,2019

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