Semi-supervised detection of intracranial pressure alarms using waveform dynamics

Fabien Scalzo1, Xiao Hu

  • 1Neurosurgery Neural Systems and Dynamics Laboratory (NSDL), University of California, Los Angeles, CA 90024, USA. fscalzo@mednet.ucla.edu

Summary

Semi-supervised learning significantly reduces false alarms in intensive care units (ICU) by utilizing unlabeled data. This approach improves accuracy for critical patient monitoring systems, like intracranial pressure (ICP) alarms.

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