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.
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
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  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.
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        Value: 10.3389/fpsyt.2026.1747824
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              Text: 2026 Mar 24
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