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

Saved in:
Bibliographic Details
Title: A supervised, externally validated machine learning model for artifact and drainage detection in high-resolution intracranial pressure monitoring data.
Authors: Huo S; 1Department of Neurology with Experimental Neurology, Charité - Universitätsmedizin Berlin, Germany.; 2Neurocritical Care Unit, Department of Neurosurgery and Institute of Intensive Care Medicine, Clinical Neuroscience Center, University Hospital Zurich and University of Zurich, Switzerland.; 3Center for Stroke Research Berlin, Charité - Universitätsmedizin Berlin, Germany., Nelde A; 4Computational Neurology, Department of Neurology, Charité - Universitätsmedizin Berlin, Germany., Meisel C; 3Center for Stroke Research Berlin, Charité - Universitätsmedizin Berlin, Germany.; 4Computational Neurology, Department of Neurology, Charité - Universitätsmedizin Berlin, Germany.; 5Berlin Institute of Health (BIH), Berlin, Germany., Scheibe F; 1Department of Neurology with Experimental Neurology, Charité - Universitätsmedizin Berlin, Germany.; 6NeuroCure Cluster of Excellence, Charité - Universitätsmedizin Berlin, Germany., Meisel A; 1Department of Neurology with Experimental Neurology, Charité - Universitätsmedizin Berlin, Germany.; 3Center for Stroke Research Berlin, Charité - Universitätsmedizin Berlin, Germany.; 6NeuroCure Cluster of Excellence, Charité - Universitätsmedizin Berlin, Germany., Endres M; 1Department of Neurology with Experimental Neurology, Charité - Universitätsmedizin Berlin, Germany.; 3Center for Stroke Research Berlin, Charité - Universitätsmedizin Berlin, Germany.; 6NeuroCure Cluster of Excellence, Charité - Universitätsmedizin Berlin, Germany.; 7German Center for Neurodegenerative Diseases (DZNE), partner site Berlin, Germany.; 8German Center for Cardiovascular Research (DZHK), partner site Berlin, Germany.; 9German Center for Mental Health (DZPG), partner site Berlin, Germany; and., Vajkoczy P; 10Department of Neurosurgery, Charité - Universitätsmedizin Berlin, Germany., Wolf S; 10Department of Neurosurgery, Charité - Universitätsmedizin Berlin, Germany., Willms JF; 2Neurocritical Care Unit, Department of Neurosurgery and Institute of Intensive Care Medicine, Clinical Neuroscience Center, University Hospital Zurich and University of Zurich, Switzerland., Boss JM; 2Neurocritical Care Unit, Department of Neurosurgery and Institute of Intensive Care Medicine, Clinical Neuroscience Center, University Hospital Zurich and University of Zurich, Switzerland., Keller E; 2Neurocritical Care Unit, Department of Neurosurgery and Institute of Intensive Care Medicine, Clinical Neuroscience Center, University Hospital Zurich and University of Zurich, Switzerland.
Source: Journal of neurosurgery [J Neurosurg] 2024 Mar 15; Vol. 141 (2), pp. 509-517. Date of Electronic Publication: 2024 Mar 15 (Print Publication: 2024).
Publication Type: Journal Article; Multicenter Study
Journal Info: Publisher: American Association of Neurological Surgeons Country of Publication: United States NLM ID: 0253357 Publication Model: Electronic-Print Cited Medium: Internet ISSN: 1933-0693 (Electronic) Linking ISSN: 00223085 NLM ISO Abbreviation: J Neurosurg Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1933-0693
DOI:10.3171/2023.12.JNS231670