Can artificial intelligence and machine learning help us treat sepsis?
作者信息
Jeffery Alvin D
机构信息
Vanderbilt University School of Nursing, and Department of Biomedical Informatics, Vanderbilt University School of Medicine, Nashville, TN, United States.
出版信息
Intensive Crit Care Nurs. 2021 Aug;65:103043. doi: 10.1016/j.iccn.2021.103043. Epub 2021 May 4.
Abstract
摘要
相似文献
1
Can artificial intelligence and machine learning help us treat sepsis?人工智能和机器学习能帮助我们治疗败血症吗？
Intensive Crit Care Nurs. 2021 Aug;65:103043. doi: 10.1016/j.iccn.2021.103043. Epub 2021 May 4.
2
Preventing sepsis; how can artificial intelligence inform the clinical decision-making process? A systematic review.预防败血症；人工智能如何为临床决策过程提供信息？系统评价。
Int J Med Inform. 2021 Jun;150:104457. doi: 10.1016/j.ijmedinf.2021.104457. Epub 2021 Apr 10.
3
New Phenotypes for Sepsis: The Promise and Problem of Applying Machine Learning and Artificial Intelligence in Clinical Research.脓毒症的新表型：机器学习和人工智能在临床研究中的应用前景与问题
JAMA. 2019 May 28;321(20):1981-1982. doi: 10.1001/jama.2019.5794.
4
Applications of artificial intelligence and machine learning approaches in echocardiography.人工智能和机器学习方法在超声心动图中的应用。
Echocardiography. 2021 Jun;38(6):982-992. doi: 10.1111/echo.15048. Epub 2021 May 13.
5
Artificial Intelligence for Early Sepsis Detection: A Word of Caution.用于早期脓毒症检测的人工智能：一则警示
Am J Respir Crit Care Med. 2023 Apr 1;207(7):853-854. doi: 10.1164/rccm.202212-2284VP.
6
Artificial intelligence, machine learning and the pediatric airway.人工智能、机器学习与小儿气道。
Paediatr Anaesth. 2020 Mar;30(3):264-268. doi: 10.1111/pan.13792. Epub 2020 Jan 2.
7
Role of Machine Learning and Artificial Intelligence in Interventional Oncology.机器学习和人工智能在介入肿瘤学中的作用。
Curr Oncol Rep. 2021 Apr 20;23(6):70. doi: 10.1007/s11912-021-01054-6.
8
Artificial Intelligence and Machine Learning in Anesthesiology.人工智能和机器学习在麻醉学中的应用。
Anesthesiology. 2019 Dec;131(6):1346-1359. doi: 10.1097/ALN.0000000000002694.
9
Machine learning in critical care: state-of-the-art and a sepsis case study.重症监护中的机器学习：现状及脓毒症案例研究。
Biomed Eng Online. 2018 Nov 20;17(Suppl 1):135. doi: 10.1186/s12938-018-0569-2.
10
Will artificial intelligence help us in predicting outcomes in cardiac surgery?人工智能会帮助我们预测心脏手术的结果吗？
J Card Surg. 2022 Nov;37(11):3846-3847. doi: 10.1111/jocs.16844. Epub 2022 Aug 24.
本文引用的文献
1
Implementation of the Surviving Sepsis Campaign one-hour bundle in a short stay unit: A quality improvement project.在短期停留病房实施拯救脓毒症运动一小时捆绑包：一个质量改进项目。
Intensive Crit Care Nurs. 2021 Apr;63:103004. doi: 10.1016/j.iccn.2020.103004. Epub 2020 Dec 22.
2
Epidemiology of Hospital-Onset Versus Community-Onset Sepsis in U.S. Hospitals and Association With Mortality: A Retrospective Analysis Using Electronic Clinical Data.美国医院中医院获得性与社区获得性脓毒症的流行病学：一项使用电子临床数据的回顾性分析。
Crit Care Med. 2019 Sep;47(9):1169-1176. doi: 10.1097/CCM.0000000000003817.
3
Participatory design of probability-based decision support tools for in-hospital nurses.面向住院护士的基于概率的决策支持工具的参与式设计
J Am Med Inform Assoc. 2017 Nov 1;24(6):1102-1110. doi: 10.1093/jamia/ocx060.
4
Assessment of Global Incidence and Mortality of Hospital-treated Sepsis. Current Estimates and Limitations.评估全球医院治疗脓毒症的发病率和死亡率。当前的估计和局限性。
Am J Respir Crit Care Med. 2016 Feb 1;193(3):259-72. doi: 10.1164/rccm.201504-0781OC.
5
Community-, Healthcare-, and Hospital-Acquired Severe Sepsis Hospitalizations in the University HealthSystem Consortium.大学卫生系统联盟中社区获得性、医疗保健相关性和医院获得性严重脓毒症住院情况
Crit Care Med. 2015 Sep;43(9):1945-51. doi: 10.1097/CCM.0000000000001164.
6
Epidemiology of severe sepsis in the United States: analysis of incidence, outcome, and associated costs of care.美国严重脓毒症的流行病学：发病率、转归及相关护理费用分析
Crit Care Med. 2001 Jul;29(7):1303-10. doi: 10.1097/00003246-200107000-00002.
Zotero 插件