A supervised, externally validated machine learning model for artifact and drainage detection in high-resolution intracranial pressure monitoring data.
Saved in:
| 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 |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
|---|---|
| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 38489814 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: A supervised, externally validated machine learning model for artifact and drainage detection in high-resolution intracranial pressure monitoring data. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Huo+S%22">Huo S</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Nelde+A%22">Nelde A</searchLink>; 4Computational Neurology, Department of Neurology, Charité - Universitätsmedizin Berlin, Germany.<br /><searchLink fieldCode="AU" term="%22Meisel+C%22">Meisel C</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Scheibe+F%22">Scheibe F</searchLink>; 1Department of Neurology with Experimental Neurology, Charité - Universitätsmedizin Berlin, Germany.; 6NeuroCure Cluster of Excellence, Charité - Universitätsmedizin Berlin, Germany.<br /><searchLink fieldCode="AU" term="%22Meisel+A%22">Meisel A</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Endres+M%22">Endres M</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Vajkoczy+P%22">Vajkoczy P</searchLink>; 10Department of Neurosurgery, Charité - Universitätsmedizin Berlin, Germany.<br /><searchLink fieldCode="AU" term="%22Wolf+S%22">Wolf S</searchLink>; 10Department of Neurosurgery, Charité - Universitätsmedizin Berlin, Germany.<br /><searchLink fieldCode="AU" term="%22Willms+JF%22">Willms JF</searchLink>; 2Neurocritical Care Unit, Department of Neurosurgery and Institute of Intensive Care Medicine, Clinical Neuroscience Center, University Hospital Zurich and University of Zurich, Switzerland.<br /><searchLink fieldCode="AU" term="%22Boss+JM%22">Boss JM</searchLink>; 2Neurocritical Care Unit, Department of Neurosurgery and Institute of Intensive Care Medicine, Clinical Neuroscience Center, University Hospital Zurich and University of Zurich, Switzerland.<br /><searchLink fieldCode="AU" term="%22Keller+E%22">Keller E</searchLink>; 2Neurocritical Care Unit, Department of Neurosurgery and Institute of Intensive Care Medicine, Clinical Neuroscience Center, University Hospital Zurich and University of Zurich, Switzerland. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%220253357%22">Journal of neurosurgery</searchLink> [J Neurosurg] 2024 Mar 15; Vol. 141 (2), pp. 509-517. <i>Date of Electronic Publication: </i>2024 Mar 15 (<i>Print Publication: </i>2024). – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article; Multicenter Study – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22American+Association+of+Neurological+Surgeons%22">American Association of Neurological Surgeons </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>0253357 <i>Publication Model: </i>Electronic-Print <i>Cited Medium: </i>Internet <i>ISSN: </i>1933-0693 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2200223085%22">00223085 </searchLink><i>NLM ISO Abbreviation: </i>J Neurosurg <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=38489814 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3171/2023.12.JNS231670 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 509 Titles: – TitleFull: A supervised, externally validated machine learning model for artifact and drainage detection in high-resolution intracranial pressure monitoring data. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Huo S – PersonEntity: Name: NameFull: Nelde A – PersonEntity: Name: NameFull: Meisel C – PersonEntity: Name: NameFull: Scheibe F – PersonEntity: Name: NameFull: Meisel A – PersonEntity: Name: NameFull: Endres M – PersonEntity: Name: NameFull: Vajkoczy P – PersonEntity: Name: NameFull: Wolf S – PersonEntity: Name: NameFull: Willms JF – PersonEntity: Name: NameFull: Boss JM – PersonEntity: Name: NameFull: Keller E IsPartOfRelationships: – BibEntity: Dates: – D: 15 M: 03 Text: 2024 Mar 15 Type: published Y: 2024 Identifiers: – Type: issn-electronic Value: 1933-0693 Numbering: – Type: volume Value: 141 – Type: issue Value: 2 Titles: – TitleFull: Journal of neurosurgery Type: main |
| ResultId | 1 |
