Machine learning framework for depression subtype grouping: integrating high-resolution imaging and clinical symptom analysis via correlation and clustering.
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| Title: | Machine learning framework for depression subtype grouping: integrating high-resolution imaging and clinical symptom analysis via correlation and clustering. |
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| Authors: | Verma G; Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, United States., Jacob Y; Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, United States., Morris LS; Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, United States., Xing X; Department of Computer Science, University of Nebraska Omaha, Omaha, NE, United States., Delman BN; Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, United States., Murrough JW; Depression and Anxiety Center for Discovery and Treatment, Department of Psychiatry, Icahn School of Medicine of Mount Sinai, New York, NY, United States.; Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, United States.; VISN 2 Mental Illness Research, Education, and Clinical Center (MIRECC), James J. Peters VA Medical Center, Bronx, NY, United States., Lin AL; Department of Radiology, Division of Biological Sciences, and Institute for Data Science and Informatics, University of Missouri, Columbia, MO, United States., Balchandani P; Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, United States. |
| Source: | Frontiers in psychiatry [Front Psychiatry] 2026 Mar 24; Vol. 17, pp. 1747824. Date of Electronic Publication: 2026 Mar 24 (Print Publication: 2026). |
| 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: 41953087 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Machine learning framework for depression subtype grouping: integrating high-resolution imaging and clinical symptom analysis via correlation and clustering. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Verma+G%22">Verma G</searchLink>; Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, United States.<br /><searchLink fieldCode="AU" term="%22Jacob+Y%22">Jacob Y</searchLink>; Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, United States.<br /><searchLink fieldCode="AU" term="%22Morris+LS%22">Morris LS</searchLink>; Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, United States.<br /><searchLink fieldCode="AU" term="%22Xing+X%22">Xing X</searchLink>; Department of Computer Science, University of Nebraska Omaha, Omaha, NE, United States.<br /><searchLink fieldCode="AU" term="%22Delman+BN%22">Delman BN</searchLink>; Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, United States.<br /><searchLink fieldCode="AU" term="%22Murrough+JW%22">Murrough JW</searchLink>; Depression and Anxiety Center for Discovery and Treatment, Department of Psychiatry, Icahn School of Medicine of Mount Sinai, New York, NY, United States.; Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, United States.; VISN 2 Mental Illness Research, Education, and Clinical Center (MIRECC), James J. Peters VA Medical Center, Bronx, NY, United States.<br /><searchLink fieldCode="AU" term="%22Lin+AL%22">Lin AL</searchLink>; Department of Radiology, Division of Biological Sciences, and Institute for Data Science and Informatics, University of Missouri, Columbia, MO, United States.<br /><searchLink fieldCode="AU" term="%22Balchandani+P%22">Balchandani P</searchLink>; Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, United States. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22101545006%22">Frontiers in psychiatry</searchLink> [Front Psychiatry] 2026 Mar 24; Vol. 17, pp. 1747824. <i>Date of Electronic Publication: </i>2026 Mar 24 (<i>Print Publication: </i>2026). – 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=41953087 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3389/fpsyt.2026.1747824 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 1747824 Titles: – TitleFull: Machine learning framework for depression subtype grouping: integrating high-resolution imaging and clinical symptom analysis via correlation and clustering. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Verma G – PersonEntity: Name: NameFull: Jacob Y – PersonEntity: Name: NameFull: Morris LS – PersonEntity: Name: NameFull: Xing X – PersonEntity: Name: NameFull: Delman BN – PersonEntity: Name: NameFull: Murrough JW – PersonEntity: Name: NameFull: Lin AL – PersonEntity: Name: NameFull: Balchandani P IsPartOfRelationships: – BibEntity: Dates: – D: 24 M: 03 Text: 2026 Mar 24 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 1664-0640 Numbering: – Type: volume Value: 17 Titles: – TitleFull: Frontiers in psychiatry Type: main |
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