Predicting conversion to psychosis using machine learning: response to Cannon.
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| Title: | Predicting conversion to psychosis using machine learning: response to Cannon. |
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| Authors: | Smucny J; Department of Psychiatry, University of California, Davis, Davis, CA, United States., Cannon TD; Department of Psychology, Yale University, New Haven, CT, United States.; Department of Psychiatry, Yale University, New Haven, CT, United States., Bearden CE; Department of Psychiatry, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA, United States.; Biobehavioral Sciences and Psychology, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA, United States., Addington J; Department of Psychiatry, University of Calgary, Calgary, AB, Canada., Cadenhead KS; Department of Psychiatry, University of North Carolina Chapel Hill, Chapel Hill, NC, United States., Cornblatt BA; Department of Psychiatry Research, Zucker Hillside Hospital, New York, NY, United States., Keshavan M; Department of Psychiatry, Harvard University, Cambridge, MA, United States., Mathalon DH; Department of Psychiatry, University of California, San Francisco, San Francisco, CA, United States., Perkins DO; Department of Psychiatry, University of San Diego, San Diego, CA, United States., Stone W; Department of Psychiatry, Harvard University, Cambridge, MA, United States., Walker EF; Department of Psychiatry, Emory University, Atlanta, GA, United States., Woods SW; Department of Psychology, Yale University, New Haven, CT, United States.; Department of Psychiatry, Yale University, New Haven, CT, United States., Davidson I; Department of Computer Science, University of California, Davis, Davis, CA, United States., Carter CS; Department of Psychiatry, University of California, Irvine, Irvine, CA, United States. |
| Source: | Frontiers in psychiatry [Front Psychiatry] 2025 Jan 15; Vol. 15, pp. 1520173. Date of Electronic Publication: 2025 Jan 15 (Print Publication: 2024). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Frontiers Research Foundation Country of Publication: Switzerland NLM ID: 101545006 Publication Model: eCollection Cited Medium: Print ISSN: 1664-0640 (Print) Linking ISSN: 16640640 NLM ISO Abbreviation: Front Psychiatry Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 39882161 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Predicting conversion to psychosis using machine learning: response to Cannon. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Smucny+J%22">Smucny J</searchLink>; Department of Psychiatry, University of California, Davis, Davis, CA, United States.<br /><searchLink fieldCode="AU" term="%22Cannon+TD%22">Cannon TD</searchLink>; Department of Psychology, Yale University, New Haven, CT, United States.; Department of Psychiatry, Yale University, New Haven, CT, United States.<br /><searchLink fieldCode="AU" term="%22Bearden+CE%22">Bearden CE</searchLink>; Department of Psychiatry, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA, United States.; Biobehavioral Sciences and Psychology, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA, United States.<br /><searchLink fieldCode="AU" term="%22Addington+J%22">Addington J</searchLink>; Department of Psychiatry, University of Calgary, Calgary, AB, Canada.<br /><searchLink fieldCode="AU" term="%22Cadenhead+KS%22">Cadenhead KS</searchLink>; Department of Psychiatry, University of North Carolina Chapel Hill, Chapel Hill, NC, United States.<br /><searchLink fieldCode="AU" term="%22Cornblatt+BA%22">Cornblatt BA</searchLink>; Department of Psychiatry Research, Zucker Hillside Hospital, New York, NY, United States.<br /><searchLink fieldCode="AU" term="%22Keshavan+M%22">Keshavan M</searchLink>; Department of Psychiatry, Harvard University, Cambridge, MA, United States.<br /><searchLink fieldCode="AU" term="%22Mathalon+DH%22">Mathalon DH</searchLink>; Department of Psychiatry, University of California, San Francisco, San Francisco, CA, United States.<br /><searchLink fieldCode="AU" term="%22Perkins+DO%22">Perkins DO</searchLink>; Department of Psychiatry, University of San Diego, San Diego, CA, United States.<br /><searchLink fieldCode="AU" term="%22Stone+W%22">Stone W</searchLink>; Department of Psychiatry, Harvard University, Cambridge, MA, United States.<br /><searchLink fieldCode="AU" term="%22Walker+EF%22">Walker EF</searchLink>; Department of Psychiatry, Emory University, Atlanta, GA, United States.<br /><searchLink fieldCode="AU" term="%22Woods+SW%22">Woods SW</searchLink>; Department of Psychology, Yale University, New Haven, CT, United States.; Department of Psychiatry, Yale University, New Haven, CT, United States.<br /><searchLink fieldCode="AU" term="%22Davidson+I%22">Davidson I</searchLink>; Department of Computer Science, University of California, Davis, Davis, CA, United States.<br /><searchLink fieldCode="AU" term="%22Carter+CS%22">Carter CS</searchLink>; Department of Psychiatry, University of California, Irvine, Irvine, CA, United States. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22101545006%22">Frontiers in psychiatry</searchLink> [Front Psychiatry] 2025 Jan 15; Vol. 15, pp. 1520173. <i>Date of Electronic Publication: </i>2025 Jan 15 (<i>Print Publication: </i>2024). – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Frontiers+Research+Foundation%22">Frontiers Research Foundation </searchLink><i>Country of Publication: </i>Switzerland <i>NLM ID: </i>101545006 <i>Publication Model: </i>eCollection <i>Cited Medium: </i>Print <i>ISSN: </i>1664-0640 (Print) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2216640640%22">16640640 </searchLink><i>NLM ISO Abbreviation: </i>Front Psychiatry <i>Subsets: </i>PubMed not MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=39882161 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3389/fpsyt.2024.1520173 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 1520173 Titles: – TitleFull: Predicting conversion to psychosis using machine learning: response to Cannon. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Smucny J – PersonEntity: Name: NameFull: Cannon TD – PersonEntity: Name: NameFull: Bearden CE – PersonEntity: Name: NameFull: Addington J – PersonEntity: Name: NameFull: Cadenhead KS – PersonEntity: Name: NameFull: Cornblatt BA – PersonEntity: Name: NameFull: Keshavan M – PersonEntity: Name: NameFull: Mathalon DH – PersonEntity: Name: NameFull: Perkins DO – PersonEntity: Name: NameFull: Stone W – PersonEntity: Name: NameFull: Walker EF – PersonEntity: Name: NameFull: Woods SW – PersonEntity: Name: NameFull: Davidson I – PersonEntity: Name: NameFull: Carter CS IsPartOfRelationships: – BibEntity: Dates: – D: 15 M: 01 Text: 2025 Jan 15 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 1664-0640 Numbering: – Type: volume Value: 15 Titles: – TitleFull: Frontiers in psychiatry Type: main |
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