Predicting Triage Waiting Time in Maternity Emergency Care by Means of Data Mining
Author:
Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-319-31307-8_60
Reference26 articles.
1. Kawamoto, K., Houlihan, C., Balas, E., Lobach, D.: Impriving clinical practice using clinical decision support systems: a systematic review of trials to identify features critical to success. In: BMJ, 1-8 (2005)
2. Haynes, R., Wilczynski, N.: Effects of computerized clinical decision support systems on practitioner performance and patient outcomes: Methods of a decision-maker-researcher partnership systematic review. In: Implementation Science 5 (12), 1-8 (2010)
3. Kaushal, A., Zhao, Y., Peng, Q., Strome, T., Weldon, E., Zhang, M., Chochinov, A.: Evaluation of fast track strategies using agent-based simulation modeling to reduce waiting time in a hospital emergency department. In: Socio-Economic Planning Sciences 50, 18-31 (2015)
4. Bergs, J., Verelst, S., Gillet, J.-B., Deboutte, P., Vandoren, C., Vandijck, D.: The number of patients simultaneously present at the emergency department as an indicator of unsafe waiting times: A receiver operated curve-based evaluation. In: Int Emerg. Nursing (2014)
5. Abelha, A., Pereira, E., Brandão, A., Portela, F., Santos, M., Machado, J., Braga, J.: Improving Quality of Services in Maternity Care Triage System. In: International Journal of E-Health and Medical Communications 6 (2), 10-26 (2015)
Cited by 3 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 Integrated Patient Triage and Capacity Recommender System for Robust Outpatient Department Service Delivery;2022 4th International Conference on Computer Communication and the Internet (ICCCI);2022-07-01
2. Use of artificial intelligence in emergency medicine;Artificial Intelligence in Precision Health;2020
3. Queue-based features for dynamic waiting time prediction in emergency department;Measuring Business Excellence;2019-11-28
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