Optimizing elective surgery scheduling amidst the COVID-19 pandemic using artificial intelligence strategies-Reference-Cited by-同舟云学术

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Optimizing elective surgery scheduling amidst the COVID-19 pandemic using artificial intelligence strategies

Published:2024-10 Issue: Volume:90 Page:101690
ISSN:2210-6502
Container-title:Swarm and Evolutionary Computation
language:en
Short-container-title:Swarm and Evolutionary Computation

Author:

Belkhamsa Manel,Euchi Jalel^ORCID,siarry Patrick

Publisher

Elsevier BV

Reference35 articles.

1. L'approvisionnement du disposable au bloc opératoire: couplage d'une approche MRP2 et d'une livraison en kits;Rossi-Turck;Logistique Manage.,2004

2. Home health care routing and scheduling problems: a literature review;Euchi;4OR,2022

3. Euchi, J. (Ed.). (2019). Transportation, logistics, and supply chain management in home healthcare: emerging research and opportunities: emerging research and opportunities.

4. Surgery scheduling in outpatient procedure centre with re-entrant patient flow and fuzzy service times;Wang;Omega,2021

5. How can operational research make a real difference in healthcare? Challenges of implementation;Carter;Eur. J. Oper. Res.,2023

Cited by 1 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. Since the COVID-19 pandemic, approximately 90% of elective anesthetics have been ambulatory: A retrospective analysis of statewide data in Florida from 2010 through 2022;Journal of Clinical Anesthesia;2024-11

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