How to Annotate Patient Monitoring Alarms in Intensive Care Medicine for Machine Learning

Abstract excerpt

Alarm fatigue, a multi-factorial desensitization of personnel toward alarms, can harm both patients and healthcare staff in intensive care units (ICU). False and non-actionable alarms contribute to this condition. With an increasing number of alarms and more patient data being routinely collected and documented in ICUs, machine learning could help reduce alarm fatigue. As data annotation is complex and resource in...

Topics

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• Aged
• Clustering Algorithms
• Critical Care
• Hospital Mortality
• Intensive Care Units
• Machine Learning
• Phenotype
• Predictive Learning Models

Identifiers and source

Literature Corpus work

06a95678-da67-547a-8353-eacaa55e8d39

DOI

10.21203/rs.3.rs-2514969/v1