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To Extend Annotation Reliability And Efficiency: Revision history

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26 November 2025

  • curprev 04:5804:58, 26 November 2025 172.18.0.1 talk 5,359 bytes +5,359 Created page with "<br>Use machine-learning (ML) algorithms to categorise alerts as real or artifacts in online noninvasive very important sign (VS) information streams to cut back alarm fatigue and missed true instability. 294 admissions; 22,980 monitoring hours) and test sets (2,057 admissions; 156,177 monitoring hours). Alerts have been VS deviations beyond stability thresholds. A 4-member knowledgeable committee annotated a subset of alerts (576 in training/validation set, 397 in test..."
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