Toward personalized care for insomnia in the US Army: a machine learning model to predict response to cognitive behavioral therapy for insomnia.

Saved in:
Bibliographic Details
Title: Toward personalized care for insomnia in the US Army: a machine learning model to predict response to cognitive behavioral therapy for insomnia.
Authors: Gabbay FH; Department of Psychiatry, Uniformed Services University, Bethesda, Maryland.; Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, Maryland., Wynn GH; Department of Psychiatry, Uniformed Services University, Bethesda, Maryland., Georg MW; Department of Psychiatry, Uniformed Services University, Bethesda, Maryland.; Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, Maryland., Gildea SM; Department of Health Care Policy, Harvard Medical School, Boston, Massachusetts., Kennedy CJ; Department of Psychiatry, Massachusetts General Hospital, Boston, Massachusetts., King AJ; Department of Health Care Policy, Harvard Medical School, Boston, Massachusetts., Sampson NA; Department of Health Care Policy, Harvard Medical School, Boston, Massachusetts., Ursano RJ; Department of Psychiatry, Uniformed Services University, Bethesda, Maryland., Stein MB; Department of Psychiatry, University of California San Diego, La Jolla, California.; Psychiatric Service, VA San Diego Healthcare System, San Diego, California., Wagner JR; Institute for Social Research, University of Michigan, Ann Arbor, Michigan., Kessler RC; Department of Health Care Policy, Harvard Medical School, Boston, Massachusetts., Capaldi VF; Department of Psychiatry, Uniformed Services University, Bethesda, Maryland.
Source: Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine [J Clin Sleep Med] 2024 Jun 01; Vol. 20 (6), pp. 921-931.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: American Academy of Sleep Medicine Country of Publication: Switzerland NLM ID: 101231977 Publication Model: Print Cited Medium: Internet ISSN: 1550-9397 (Electronic) Linking ISSN: 15509389 NLM ISO Abbreviation: J Clin Sleep Med Subsets: MEDLINE
Database: MEDLINE Ultimate
FullText Text:
  Availability: 0
Header DbId: mdl
DbLabel: MEDLINE Ultimate
An: 38300822
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Toward personalized care for insomnia in the US Army: a machine learning model to predict response to cognitive behavioral therapy for insomnia.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Gabbay+FH%22">Gabbay FH</searchLink>; Department of Psychiatry, Uniformed Services University, Bethesda, Maryland.; Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, Maryland.<br /><searchLink fieldCode="AU" term="%22Wynn+GH%22">Wynn GH</searchLink>; Department of Psychiatry, Uniformed Services University, Bethesda, Maryland.<br /><searchLink fieldCode="AU" term="%22Georg+MW%22">Georg MW</searchLink>; Department of Psychiatry, Uniformed Services University, Bethesda, Maryland.; Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, Maryland.<br /><searchLink fieldCode="AU" term="%22Gildea+SM%22">Gildea SM</searchLink>; Department of Health Care Policy, Harvard Medical School, Boston, Massachusetts.<br /><searchLink fieldCode="AU" term="%22Kennedy+CJ%22">Kennedy CJ</searchLink>; Department of Psychiatry, Massachusetts General Hospital, Boston, Massachusetts.<br /><searchLink fieldCode="AU" term="%22King+AJ%22">King AJ</searchLink>; Department of Health Care Policy, Harvard Medical School, Boston, Massachusetts.<br /><searchLink fieldCode="AU" term="%22Sampson+NA%22">Sampson NA</searchLink>; Department of Health Care Policy, Harvard Medical School, Boston, Massachusetts.<br /><searchLink fieldCode="AU" term="%22Ursano+RJ%22">Ursano RJ</searchLink>; Department of Psychiatry, Uniformed Services University, Bethesda, Maryland.<br /><searchLink fieldCode="AU" term="%22Stein+MB%22">Stein MB</searchLink>; Department of Psychiatry, University of California San Diego, La Jolla, California.; Psychiatric Service, VA San Diego Healthcare System, San Diego, California.<br /><searchLink fieldCode="AU" term="%22Wagner+JR%22">Wagner JR</searchLink>; Institute for Social Research, University of Michigan, Ann Arbor, Michigan.<br /><searchLink fieldCode="AU" term="%22Kessler+RC%22">Kessler RC</searchLink>; Department of Health Care Policy, Harvard Medical School, Boston, Massachusetts.<br /><searchLink fieldCode="AU" term="%22Capaldi+VF%22">Capaldi VF</searchLink>; Department of Psychiatry, Uniformed Services University, Bethesda, Maryland.
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22101231977%22">Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine</searchLink> [J Clin Sleep Med] 2024 Jun 01; Vol. 20 (6), pp. 921-931.
– Name: TypePub
  Label: Publication Type
  Group: TypPub
  Data: Journal Article; Research Support, Non-U.S. Gov't
– Name: TitleSource
  Label: Journal Info
  Group: Src
  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22American+Academy+of+Sleep+Medicine%22">American Academy of Sleep Medicine </searchLink><i>Country of Publication: </i>Switzerland <i>NLM ID: </i>101231977 <i>Publication Model: </i>Print <i>Cited Medium: </i>Internet <i>ISSN: </i>1550-9397 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2215509389%22">15509389 </searchLink><i>NLM ISO Abbreviation: </i>J Clin Sleep Med <i>Subsets: </i>MEDLINE
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=38300822
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.5664/jcsm.11026
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        StartPage: 921
    Titles:
      – TitleFull: Toward personalized care for insomnia in the US Army: a machine learning model to predict response to cognitive behavioral therapy for insomnia.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Gabbay FH
      – PersonEntity:
          Name:
            NameFull: Wynn GH
      – PersonEntity:
          Name:
            NameFull: Georg MW
      – PersonEntity:
          Name:
            NameFull: Gildea SM
      – PersonEntity:
          Name:
            NameFull: Kennedy CJ
      – PersonEntity:
          Name:
            NameFull: King AJ
      – PersonEntity:
          Name:
            NameFull: Sampson NA
      – PersonEntity:
          Name:
            NameFull: Ursano RJ
      – PersonEntity:
          Name:
            NameFull: Stein MB
      – PersonEntity:
          Name:
            NameFull: Wagner JR
      – PersonEntity:
          Name:
            NameFull: Kessler RC
      – PersonEntity:
          Name:
            NameFull: Capaldi VF
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 06
              Text: 2024 Jun 01
              Type: published
              Y: 2024
          Identifiers:
            – Type: issn-electronic
              Value: 1550-9397
          Numbering:
            – Type: volume
              Value: 20
            – Type: issue
              Value: 6
          Titles:
            – TitleFull: Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine
              Type: main
ResultId 1