A multi-method patient arrival forecasting outline for hospital emergency departments
Author:
Affiliation:
1. Department of Mechanical Engineering, Munzur University, Tunceli, Turkey
2. Department of Industrial Engineering, Munzur University, Tunceli, Turkey
Publisher
Informa UK Limited
Subject
Health Policy,Leadership and Management
Link
https://www.tandfonline.com/doi/pdf/10.1080/20479700.2018.1531608
Reference65 articles.
1. Forecasting Hourly Patient Visits in the Emergency Department to Counteract Crowding
2. Assessment of forecasting models for patients arrival at Emergency Department
3. A Hybrid Approach for Forecasting Patient Visits in Emergency Department
4. Aladeemy M, Chou C-A, Shan X, et al. (2016). Forecasting daily patient arrivals at emergency department: a comparative study. Proceedings of the 2016 Industrial and Systems Engineering Research Conference, May 2016.
Cited by 27 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. Enhancing emergency department patient arrival forecasting: a study using feature engineering and advanced machine learning algorithms;2024-02-02
2. Near real-time prediction of urgent care hospital performance metrics using scalable random forest algorithm: A multi-site development;Healthcare Analytics;2023-11
3. Enhancing search and rescue team performance: investigating factors behind social loafing;Natural Hazards;2023-09-07
4. Machine learning methods for predicting the admissions and hospitalisations in the emergency department of a civil and military hospital;Journal of Intelligent Information Systems;2023-07-04
5. Forecasting Demand for Hospital Services;Advances in Healthcare Information Systems and Administration;2023-03-24
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3