DynamoSort: Using machine learning approaches for the automatic classification of seizure dynamotypes.
Saved in:
| Title: | DynamoSort: Using machine learning approaches for the automatic classification of seizure dynamotypes. |
|---|---|
| Authors: | Wooley J; School of Biomedical Engineering, University of Sydney, Sydney, Australia., Zachery-Savella A; Department of Pharmacology and Toxicology, University of Utah, Salt Lake City, USA., Le M; Department of Pharmacology and Toxicology, University of Utah, Salt Lake City, USA., Scofield S; Department of Pharmacology and Toxicology, University of Utah, Salt Lake City, USA., Jay K; Department of Pharmacology and Toxicology, University of Utah, Salt Lake City, USA., Mosse-Robinson J; School of Biomedical Engineering, University of Sydney, Sydney, Australia., West PJ; Department of Pharmacology and Toxicology, University of Utah, Salt Lake City, USA., Wilcox KS; Department of Pharmacology and Toxicology, University of Utah, Salt Lake City, USA., Anderson DN; School of Biomedical Engineering, University of Sydney, Sydney, Australia.; Department of Pharmacology and Toxicology, University of Utah, Salt Lake City, USA.; Department of Neurosurgery, University of Utah, Salt Lake City, UT. |
| Source: | BioRxiv : the preprint server for biology [bioRxiv] 2025 Feb 17. Date of Electronic Publication: 2025 Feb 17. |
| Publication Type: | Journal Article; Preprint |
| Journal Info: | Country of Publication: United States NLM ID: 101680187 Publication Model: Electronic Cited Medium: Internet ISSN: 2692-8205 (Electronic) Linking ISSN: 26928205 NLM ISO Abbreviation: bioRxiv Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
| FullText | Text: Availability: 0 |
|---|---|
| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 40027820 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: DynamoSort: Using machine learning approaches for the automatic classification of seizure dynamotypes. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Wooley+J%22">Wooley J</searchLink>; School of Biomedical Engineering, University of Sydney, Sydney, Australia.<br /><searchLink fieldCode="AU" term="%22Zachery-Savella+A%22">Zachery-Savella A</searchLink>; Department of Pharmacology and Toxicology, University of Utah, Salt Lake City, USA.<br /><searchLink fieldCode="AU" term="%22Le+M%22">Le M</searchLink>; Department of Pharmacology and Toxicology, University of Utah, Salt Lake City, USA.<br /><searchLink fieldCode="AU" term="%22Scofield+S%22">Scofield S</searchLink>; Department of Pharmacology and Toxicology, University of Utah, Salt Lake City, USA.<br /><searchLink fieldCode="AU" term="%22Jay+K%22">Jay K</searchLink>; Department of Pharmacology and Toxicology, University of Utah, Salt Lake City, USA.<br /><searchLink fieldCode="AU" term="%22Mosse-Robinson+J%22">Mosse-Robinson J</searchLink>; School of Biomedical Engineering, University of Sydney, Sydney, Australia.<br /><searchLink fieldCode="AU" term="%22West+PJ%22">West PJ</searchLink>; Department of Pharmacology and Toxicology, University of Utah, Salt Lake City, USA.<br /><searchLink fieldCode="AU" term="%22Wilcox+KS%22">Wilcox KS</searchLink>; Department of Pharmacology and Toxicology, University of Utah, Salt Lake City, USA.<br /><searchLink fieldCode="AU" term="%22Anderson+DN%22">Anderson DN</searchLink>; School of Biomedical Engineering, University of Sydney, Sydney, Australia.; Department of Pharmacology and Toxicology, University of Utah, Salt Lake City, USA.; Department of Neurosurgery, University of Utah, Salt Lake City, UT. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22101680187%22">BioRxiv : the preprint server for biology</searchLink> [bioRxiv] 2025 Feb 17. <i>Date of Electronic Publication: </i>2025 Feb 17. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article; Preprint – Name: TitleSource Label: Journal Info Group: Src Data: <i>Country of Publication: </i>United States <i>NLM ID: </i>101680187 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>2692-8205 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2226928205%22">26928205 </searchLink><i>NLM ISO Abbreviation: </i>bioRxiv <i>Subsets: </i>PubMed not MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=40027820 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1101/2025.02.12.637999 Languages: – Code: eng Text: English Titles: – TitleFull: DynamoSort: Using machine learning approaches for the automatic classification of seizure dynamotypes. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Wooley J – PersonEntity: Name: NameFull: Zachery-Savella A – PersonEntity: Name: NameFull: Le M – PersonEntity: Name: NameFull: Scofield S – PersonEntity: Name: NameFull: Jay K – PersonEntity: Name: NameFull: Mosse-Robinson J – PersonEntity: Name: NameFull: West PJ – PersonEntity: Name: NameFull: Wilcox KS – PersonEntity: Name: NameFull: Anderson DN IsPartOfRelationships: – BibEntity: Dates: – D: 17 M: 02 Text: 2025 Feb 17 Type: published Y: 2025 Identifiers: – Type: issn-electronic Value: 2692-8205 Titles: – TitleFull: BioRxiv : the preprint server for biology Type: main |
| ResultId | 1 |