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重症监护室智慧化管理措施减少临床虚假警报效果的整合性综述
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作者 李冰玉 岳丽青 +5 位作者 聂慧宇 曹紫薇 柴小桠 彭彬 张恬鸽 黄伟红 《International Journal of Nursing Sciences》 CSCD 2024年第1期133-142,共10页
目的医疗设备的频繁虚假警报可能导致护土警报疲劳,这可能导致反应行动延迟或错过警报,增加患者不良事件的风险。本综述旨在探讨重症监护室临床警报智慧化管理措施对减少临床虚假警报的应用效果。方法根据Whitmore 和Knaf的方法学框架,... 目的医疗设备的频繁虚假警报可能导致护土警报疲劳,这可能导致反应行动延迟或错过警报,增加患者不良事件的风险。本综述旨在探讨重症监护室临床警报智慧化管理措施对减少临床虚假警报的应用效果。方法根据Whitmore 和Knaf的方法学框架,对6个数据库进行系统检索: PubMed, EMBASE,CINAHL,OVID,CochraneLibrary,Scopus,检索从每个数据库建库到2022年12月以英文或中文发表的临床警报的智慧化管理相关文章。采用乔安娜布里格斯研究所的评价工具(JBI-MAStARI)评估研究的质量,并对文献进行数据提取和分析。该研究已在PROSPERO完成注册(CRD42023411552)。结果共纳入7项研究。不同的警报智慧化管理措施有利于减少虚假警报数量和警报的持续时间,缩短护士对重要警报的应答时间,减轻护士的警报疲劳程度。在实践中,应用新的警报管理方式后取得了积极的效果。结论智慧化管理措施可能是警报减少的有效途径,医院迫切需要进行临床警报的智慧化管理。为确保更有效的患者监测、减少警报给护士带来的困扰,未来需要更多与人工智能相结合的警报管理手段,以实现关键警报的准确识别,确保护士对警报准确响应,并真正改善警报频繁的临床医疗环境。 展开更多
关键词 人工智能 临床警报 重症监护室 护士 生理监测 安全管理
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The lymphatic system:a therapeutic target for central nervous system disorders 被引量:5
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作者 Jia-Qi Xu Qian-Qi Liu +4 位作者 Sheng-Yuan Huang Chun-Yue Duan Hong-Bin Lu Yong Cao Jian-Zhong Hu 《Neural Regeneration Research》 SCIE CAS CSCD 2023年第6期1249-1256,共8页
The lymphatic vasculature forms an organized network that covers the whole body and is involved in fluid homeostasis,metabolite clearance,and immune surveillance.The recent identification of functional lymphatic vesse... The lymphatic vasculature forms an organized network that covers the whole body and is involved in fluid homeostasis,metabolite clearance,and immune surveillance.The recent identification of functional lymphatic vessels in the meninges of the brain and the spinal cord has provided novel insights into neurophysiology.They emerge as major pathways for fluid exchange.The abundance of immune cells in lymphatic vessels and meninges also suggests that lymphatic vessels are actively involved in neuroimmunity.The lymphatic system,through its role in the clearance of neurotoxic proteins,autoimmune cell infiltration,and the transmission of pro-inflammatory signals,participates in the pathogenesis of a variety of neurological disorders,including neurodegenerative and neuroinflammatory diseases and traumatic injury.Vascular endothelial growth factor C is the master regulator of lymphangiogenesis,a process that is critical for the maintenance of central nervous system homeostasis.In this review,we summarize current knowledge and recent advances relating to the anatomical features and immunological functions of the lymphatic system of the central nervous system and highlight its potential as a therapeutic target for neurological disorders and central nervous system repair. 展开更多
关键词 central nervous system central nervous system injury glymphatic system lymphatic vessels MENINGES neurodegenerative disorders neuroinflammatory diseases vascular endothelial growth factor C
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基于朋辈AdaBoost分类器级联的行人检测 被引量:4
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作者 傅红普 邹北骥 +3 位作者 朱承璋 戴玉兰 姜灵子 昌喆 《Journal of Central South University》 SCIE EI CAS CSCD 2020年第8期2269-2279,共11页
针对训练数据不平衡和类内差异,本文提出了使用等同复杂度AdaBoost分类器的级联来检测行人,称为朋辈级联。利用难负样本挖掘操作,贪婪训练一系列的AdaBoost阶段分类器。朋辈级联不限制分类器的复杂度,从而得以利用更多负训练样本。并且... 针对训练数据不平衡和类内差异,本文提出了使用等同复杂度AdaBoost分类器的级联来检测行人,称为朋辈级联。利用难负样本挖掘操作,贪婪训练一系列的AdaBoost阶段分类器。朋辈级联不限制分类器的复杂度,从而得以利用更多负训练样本。并且,本文级联成为了强朋辈分类器的集成,从而能在一定程度上应对行人的类内差异。为就地训练出高检测率的AdaBoost分类器,提出提纯操作来丢弃一些难负样本。提纯操作替代以往直接降低分类器阈值的操作,保留了每个分类器的训练优化性能。实验结果表明,在Inria和Caltech pedestrian benchmark两个公开行人数据集,使用聚合通道特征(ACF)朋辈级联的检测性能比现有逐渐复杂分类器级联的检测性能好很多。使用RPN提取的深度学习特征时,朋辈级联的性能明显更好。 展开更多
关键词 朋辈分类器 难负样本提纯 行人检测 级联
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Automatic segmentation of optic disc and cup for CDR calculation
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作者 赵鑫 郭璠 +1 位作者 邹北骥 赵荣昌 《Optoelectronics Letters》 EI 2019年第5期381-385,共5页
Glaucoma as an irreversible blinding opioid neuropathy disease, its blindness rate is the second only after cataract in the world. The optic cup-to-disc ratio(CDR) is generally considered to be an important clinical i... Glaucoma as an irreversible blinding opioid neuropathy disease, its blindness rate is the second only after cataract in the world. The optic cup-to-disc ratio(CDR) is generally considered to be an important clinical indicator for judging the severity of glaucoma by ophthalmologists from retinal fundus image. In this letter, we propose an automatic CDR measurement method that consists of a novel optic disc localization method and a simultaneous optic disc and cup segmentation network based on the improved U shape deep convolutional neural network. Experimental results demonstrate that the proposed method can achieve superior performance when compared with other existing methods. Thus, our method can be used as a powerful tool for glaucoma-assisted diagnosis. 展开更多
关键词 cup-to-disc ratio(CDR) AUTOMATIC segmentation OPTIC DISC
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