Machine learning applied to multi-sensor information to reduce false alarm rate in the ICU
Author:
Publisher
Springer Science and Business Media LLC
Subject
Anesthesiology and Pain Medicine,Critical Care and Intensive Care Medicine,Health Informatics
Link
http://link.springer.com/content/pdf/10.1007/s10877-019-00307-x.pdf
Reference25 articles.
1. Drew BJ, Califf RM, Funk M, Kaufman ES, Krucoff MW, Laks MM, et al. Practice standards for electrocardiographic monitoring in hospital settings. Circulation. 2004;110(17):2721–46.
2. Sendelbach S, Funk M. Alarm fatigue: a patient safety concern. Adv Crit Care. 2013;24(4):378–86.
3. Drew BJ, Harris P, Schindler D, Salas-Boni R, Bai Y, Tinoco A, et al. Insights into the problem of alarm fatigue with physiologic monitor devices: a comprehensive observational study of consecutive intensive care unit patients. PLoS ONE. 2014;9(10):1–23.
4. Cvach M. Monitor alarm fatigue: an integrative review. Biomed Instrum Technol. 2012;46(4):268–77.
5. Sorkin RD. FORUM: why are people turning off our alarms? J Acoust Soc Am. 1988;84(3):1107–8.
Cited by 20 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. Early Detection of Pulmonary Embolism in a General Patient Population Immediately Upon Hospital Admission Using Machine Learning to Identify New, Unidentified Risk Factors: Model Development Study;Journal of Medical Internet Research;2024-07-30
2. Machine Learning-Guided Anesthesiology: A Review of Recent Advances and Clinical Applications;Journal of Cellular & Molecular Anesthesia;2024-02-03
3. ML-Based Interpretation of Cardiotocography Data: Current State and Future Research;2023 International Conference of Computer Science and Information Technology (ICOSNIKOM);2023-11-10
4. Early Detection of Pulmonary Embolism in a General Patient Population Immediately Upon Hospital Admission Using Machine Learning to Identify New, Unidentified Risk Factors: Model Development Study (Preprint);2023-04-29
5. Machine Learning for Predicting the Development of Postoperative Acute Kidney Injury After Coronary Artery Bypass Grafting Without Extracorporeal Circulation;Cardiovascular Innovations and Applications;2023
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