Simulation and Machine Learning Provide New Approaches to Examine Quality of Acute Stroke Management-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Simulation and Machine Learning Provide New Approaches to Examine Quality of Acute Stroke Management

Published:2022-09 Issue:9 Volume:53 Page:2768-2769
ISSN:0039-2499
Container-title:Stroke
language:en
Short-container-title:Stroke

Author:

Kamal Noreen¹²^ORCID,Lakshminarayan Kamakshi³^ORCID

Affiliation:

1. Department of Industrial Engineering, Dalhousie University, Halifax, Nova Scotia, Canada (N.K.).

2. Department of Clinical Neurosciences, University of Calgary, Alberta, Canada (N.K.).

3. Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis (K.L.).

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Advanced and Specialized Nursing,Cardiology and Cardiovascular Medicine,Neurology (clinical)

Reference5 articles.

1. Machine Learning for Outcome Prediction of Acute Ischemic Stroke Post Intra-Arterial Therapy

2. Machine Learning–Based Model for Prediction of Outcomes in Acute Stroke

3. Discrete-event simulation to model the thrombolysis process for acute ischemic stroke patients at urban and rural hospitals.;Bulmer T;Front Neurol,2021

4. Use of Clinical Pathway Simulation and Machine Learning to Identify Key Levers for Maximizing the Benefit of Intravenous Thrombolysis in Acute Stroke

5. An evaluation of the impact of aggressive hypertension, diabetes and smoking cessation management on CVD outcomes at the population level: a dynamic simulation analysis.;Ansah JP;BMC Public Health,2019

Cited by 2 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. Effect of multidisciplinary refined time management combined with organized stroke management on the efficacy of intravenous thrombolysis in patients with acute ischemic stroke;Signa Vitae;2024

2. Knowledge structure and global trends of machine learning in stroke over the past decade: A scientometric analysis;Heliyon;2024-01

同舟云学术

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