At-home, telehealth-supported ketamine treatment for depression: Findings from longitudinal, machine learning and symptom network analysis of real-world data.
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| Title: | At-home, telehealth-supported ketamine treatment for depression: Findings from longitudinal, machine learning and symptom network analysis of real-world data. |
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| Authors: | Mathai DS; The Johns Hopkins University School of Medicine, Center for Psychedelic and Consciousness Research, Department of Psychiatry and Behavioral Sciences, Baltimore, MD, United States of America; Sattva Medicine - Psychiatry/Psychotherapy Practice, Miami, FL, United States of America., Hull TD; Institute for Psycholinguistics and Digital Health, United States of America., Vando L; Mindbloom, Orlando, FL, United States of America., Malgaroli M; NYU Grossman School of Medicine, Department of Psychiatry, New York, NY, United States of America. Electronic address: matteo.malgaroli@nyulangone.org. |
| Source: | Journal of affective disorders [J Affect Disord] 2024 Sep 15; Vol. 361, pp. 198-208. Date of Electronic Publication: 2024 May 27. |
| Publication Type: | Journal Article; Research Support, N.I.H., Extramural |
| Journal Info: | Publisher: Elsevier/North-Holland Biomedical Press Country of Publication: Netherlands NLM ID: 7906073 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1573-2517 (Electronic) Linking ISSN: 01650327 NLM ISO Abbreviation: J Affect Disord Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| FullText | Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 38810787 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: At-home, telehealth-supported ketamine treatment for depression: Findings from longitudinal, machine learning and symptom network analysis of real-world data. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Mathai+DS%22">Mathai DS</searchLink>; The Johns Hopkins University School of Medicine, Center for Psychedelic and Consciousness Research, Department of Psychiatry and Behavioral Sciences, Baltimore, MD, United States of America; Sattva Medicine - Psychiatry/Psychotherapy Practice, Miami, FL, United States of America.<br /><searchLink fieldCode="AU" term="%22Hull+TD%22">Hull TD</searchLink>; Institute for Psycholinguistics and Digital Health, United States of America.<br /><searchLink fieldCode="AU" term="%22Vando+L%22">Vando L</searchLink>; Mindbloom, Orlando, FL, United States of America.<br /><searchLink fieldCode="AU" term="%22Malgaroli+M%22">Malgaroli M</searchLink>; NYU Grossman School of Medicine, Department of Psychiatry, New York, NY, United States of America. Electronic address: matteo.malgaroli@nyulangone.org. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%227906073%22">Journal of affective disorders</searchLink> [J Affect Disord] 2024 Sep 15; Vol. 361, pp. 198-208. <i>Date of Electronic Publication: </i>2024 May 27. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article; Research Support, N.I.H., Extramural – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Elsevier%2FNorth-Holland+Biomedical+Press%22">Elsevier/North-Holland Biomedical Press </searchLink><i>Country of Publication: </i>Netherlands <i>NLM ID: </i>7906073 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1573-2517 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2201650327%22">01650327 </searchLink><i>NLM ISO Abbreviation: </i>J Affect Disord <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=38810787 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.jad.2024.05.131 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 198 Titles: – TitleFull: At-home, telehealth-supported ketamine treatment for depression: Findings from longitudinal, machine learning and symptom network analysis of real-world data. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Mathai DS – PersonEntity: Name: NameFull: Hull TD – PersonEntity: Name: NameFull: Vando L – PersonEntity: Name: NameFull: Malgaroli M IsPartOfRelationships: – BibEntity: Dates: – D: 15 M: 09 Text: 2024 Sep 15 Type: published Y: 2024 Identifiers: – Type: issn-electronic Value: 1573-2517 Numbering: – Type: volume Value: 361 Titles: – TitleFull: Journal of affective disorders Type: main |
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