A supervised, externally validated machine learning model for artifact and drainage detection in high-resolution intracranial pressure monitoring data

CONCLUSIONS: Here, the authors developed a well-performing supervised model with external validation that can detect normal signals, artifacts, and drainages in ICP signals from patients in neurocritical care units. For future analyses, this is a powerful tool to discard artifacts or to detect drainage events in ICP monitoring signals.PMID:38489814 | DOI:10.3171/2023.12.JNS231670

Source: Journal of Neurosurgery - March 15, 2024 Category: Neurosurgery Authors: Shufan Huo Alexander Nelde Christian Meisel Franziska Scheibe Andreas Meisel Matthias Endres Peter Vajkoczy Stefan Wolf Jan F Willms Jens M Boss Emanuela Keller Source Type: research