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相关概念视频

Strategies for Assessing and Addressing Confounding01:25

Strategies for Assessing and Addressing Confounding

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Confounding is a critical issue in epidemiological studies, often leading to misleading conclusions about associations between exposures and outcomes. It occurs when the relationship between the exposure and the outcome is mixed with the effects of other factors that influence the outcome. Given that, addressing confounding is of high importance for drawing accurate inferences in research.
Confounding can be addressed at both the design phase of a study and through analytical methods after data...
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为大型数据集开发可扩展的注释方法,通过可操作性数据增强警报,以提高信息性:混合方法方法方法

Sophie Anne Inès Klopfenstein1,2, Anne Rike Flint1, Patrick Heeren1,3

  • 1Institute of Medical Informatics, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt Universität zu Berlin, Berlin, Germany.

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概括

通过一种新方法减少了ICU中的报警疲劳,该方法半自动标记患者监控报警的可操作性. 这可以更快地创建用于警报管理中的机器学习数据集.

关键词:
警报 疲劳 警报 疲劳报警信息性的警报警报管理 警报管理数据集注释数据集注释数字健康数字健康重症监护病房的重症监护病房是一个重症监护病房.机器学习是机器学习.对患者进行监测和监测.以患者为中心的护理.技术创新技术创新技术创新跨学科的跨学科研究.

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科学领域:

  • 生物医学工程 生物医学工程
  • 医疗信息学 医疗信息学
  • 临床数据科学 临床数据科学

背景情况:

  • 在重症监护室 (ICU) 的报警疲劳源于频繁的无效报警,影响患者和工作人员的安全.
  • 机器学习 (ML) 模型有可能减轻警报疲劳,但需要可操作的警报数据,目前缺乏.
  • 手动注释警报可操作性是耗时和资源密集的,阻碍了ML开发.

研究的目的:

  • 提出一种可扩展的方法,根据其可操作性,对患者监控报警进行注释.
  • 为了能够创建数据集来开发ML模型以解决报警疲劳问题.
  • 为其他机构和研究人员提供可重复使用的方法.

主要方法:

  • 一个跨学科的团队采用了混合方法方法,包括数据驱动,定性和经验战略.
  • 一个六步的代过程涉及定义术语,建立共识,定义条件,创建映射表,开发规则集和评估.
  • 决策的指导是可行性,临床相关性,数据可用性和系统特点,由文献审查和系统分析提供信息.

主要成果:

  • 多学科的共识导致了基于规则的注释方法,使用患者数据将警报分类为可操作或不可操作.
  • 该方法侧重于呼吸和药物干预,包括8个一般规则,图形示例和非结构化数据的映射表.
  • 开发的资源和注释方法被介绍为重复使用.

结论:

  • 拟议的方法允许快速,半自动,追溯标记警报可操作性.
  • 这有助于生成注释数据集,这对ML在报警管理和疲劳研究中至关重要.
  • 该方法和资源的普遍性支持在未来的ML项目中更广泛的应用.