View in EDS HTML Full Text PDF Full Text

Predicting Outpatient Follow-Up Retention After Inpatient Treatment in Patients With Alcohol Use Disorder: A Data-Driven Random Forest Approach.

Saved in:
Bibliographic Details
Title: Predicting Outpatient Follow-Up Retention After Inpatient Treatment in Patients With Alcohol Use Disorder: A Data-Driven Random Forest Approach.
Authors: Barb JJ; Translational Biobehavioral and Health Promotion Branch, Clinical Center, National Institutes of Health, Bethesda, Maryland, USA., King LC; Translational Biobehavioral and Health Promotion Branch, Clinical Center, National Institutes of Health, Bethesda, Maryland, USA., Hughes AN; Translational Biobehavioral and Health Promotion Branch, Clinical Center, National Institutes of Health, Bethesda, Maryland, USA., Yarmovsky J; Translational Biobehavioral and Health Promotion Branch, Clinical Center, National Institutes of Health, Bethesda, Maryland, USA., Diazgranados N; Division of Intramural Clinical and Biological Research, National Institute on Alcohol Abuse and Alcoholism, Bethesda, Maryland, USA., Farokhnia M; Clinical Psychoneuroendocrinology and Neuropsychopharmacology Section, Translational Addiction Medicine Branch, National Institute on Drug Abuse Intramural Research Program and National Institute on Alcohol Abuse and Alcoholism Division of Intramural Clinical and Biological Research, National Institutes of Health, Baltimore, Maryland, USA., Wallen GR; Translational Biobehavioral and Health Promotion Branch, Clinical Center, National Institutes of Health, Bethesda, Maryland, USA., Schwandt M; Division of Intramural Clinical and Biological Research, National Institute on Alcohol Abuse and Alcoholism, Bethesda, Maryland, USA., Leggio L; Clinical Psychoneuroendocrinology and Neuropsychopharmacology Section, Translational Addiction Medicine Branch, National Institute on Drug Abuse Intramural Research Program and National Institute on Alcohol Abuse and Alcoholism Division of Intramural Clinical and Biological Research, National Institutes of Health, Baltimore, Maryland, USA.; Center for Alcohol and Addiction Studies, Department of Behavioral and Social Sciences, Brown University, Providence, Rhode Island, USA.; Division of Addiction Medicine, Department of Medicine, School of Medicine, Johns Hopkins University, Baltimore, Maryland, USA.; Department of Neuroscience, Georgetown University Medical Center, Washington, DC, USA.
Source: Addiction biology [Addict Biol] 2026 Jun; Vol. 31 (6), pp. e70169.
Publication Type: Journal Article
Journal Info: Publisher: Wiley-Blackwell Country of Publication: United States NLM ID: 9604935 Publication Model: Print Cited Medium: Internet ISSN: 1369-1600 (Electronic) Linking ISSN: 13556215 NLM ISO Abbreviation: Addict Biol Subsets: MEDLINE
Database: MEDLINE Ultimate
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: mdl
DbLabel: MEDLINE Ultimate
An: 42286983
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Predicting Outpatient Follow-Up Retention After Inpatient Treatment in Patients With Alcohol Use Disorder: A Data-Driven Random Forest Approach.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Barb+JJ%22">Barb JJ</searchLink>; Translational Biobehavioral and Health Promotion Branch, Clinical Center, National Institutes of Health, Bethesda, Maryland, USA.<br /><searchLink fieldCode="AU" term="%22King+LC%22">King LC</searchLink>; Translational Biobehavioral and Health Promotion Branch, Clinical Center, National Institutes of Health, Bethesda, Maryland, USA.<br /><searchLink fieldCode="AU" term="%22Hughes+AN%22">Hughes AN</searchLink>; Translational Biobehavioral and Health Promotion Branch, Clinical Center, National Institutes of Health, Bethesda, Maryland, USA.<br /><searchLink fieldCode="AU" term="%22Yarmovsky+J%22">Yarmovsky J</searchLink>; Translational Biobehavioral and Health Promotion Branch, Clinical Center, National Institutes of Health, Bethesda, Maryland, USA.<br /><searchLink fieldCode="AU" term="%22Diazgranados+N%22">Diazgranados N</searchLink>; Division of Intramural Clinical and Biological Research, National Institute on Alcohol Abuse and Alcoholism, Bethesda, Maryland, USA.<br /><searchLink fieldCode="AU" term="%22Farokhnia+M%22">Farokhnia M</searchLink>; Clinical Psychoneuroendocrinology and Neuropsychopharmacology Section, Translational Addiction Medicine Branch, National Institute on Drug Abuse Intramural Research Program and National Institute on Alcohol Abuse and Alcoholism Division of Intramural Clinical and Biological Research, National Institutes of Health, Baltimore, Maryland, USA.<br /><searchLink fieldCode="AU" term="%22Wallen+GR%22">Wallen GR</searchLink>; Translational Biobehavioral and Health Promotion Branch, Clinical Center, National Institutes of Health, Bethesda, Maryland, USA.<br /><searchLink fieldCode="AU" term="%22Schwandt+M%22">Schwandt M</searchLink>; Division of Intramural Clinical and Biological Research, National Institute on Alcohol Abuse and Alcoholism, Bethesda, Maryland, USA.<br /><searchLink fieldCode="AU" term="%22Leggio+L%22">Leggio L</searchLink>; Clinical Psychoneuroendocrinology and Neuropsychopharmacology Section, Translational Addiction Medicine Branch, National Institute on Drug Abuse Intramural Research Program and National Institute on Alcohol Abuse and Alcoholism Division of Intramural Clinical and Biological Research, National Institutes of Health, Baltimore, Maryland, USA.; Center for Alcohol and Addiction Studies, Department of Behavioral and Social Sciences, Brown University, Providence, Rhode Island, USA.; Division of Addiction Medicine, Department of Medicine, School of Medicine, Johns Hopkins University, Baltimore, Maryland, USA.; Department of Neuroscience, Georgetown University Medical Center, Washington, DC, USA.
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%229604935%22">Addiction biology</searchLink> [Addict Biol] 2026 Jun; Vol. 31 (6), pp. e70169.
– 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="%22Wiley-Blackwell%22">Wiley-Blackwell </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>9604935 <i>Publication Model: </i>Print <i>Cited Medium: </i>Internet <i>ISSN: </i>1369-1600 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2213556215%22">13556215 </searchLink><i>NLM ISO Abbreviation: </i>Addict Biol <i>Subsets: </i>MEDLINE
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=42286983
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1111/adb.70169
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        StartPage: e70169
    Titles:
      – TitleFull: Predicting Outpatient Follow-Up Retention After Inpatient Treatment in Patients With Alcohol Use Disorder: A Data-Driven Random Forest Approach.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Barb JJ
      – PersonEntity:
          Name:
            NameFull: King LC
      – PersonEntity:
          Name:
            NameFull: Hughes AN
      – PersonEntity:
          Name:
            NameFull: Yarmovsky J
      – PersonEntity:
          Name:
            NameFull: Diazgranados N
      – PersonEntity:
          Name:
            NameFull: Farokhnia M
      – PersonEntity:
          Name:
            NameFull: Wallen GR
      – PersonEntity:
          Name:
            NameFull: Schwandt M
      – PersonEntity:
          Name:
            NameFull: Leggio L
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 06
              Text: 2026 Jun
              Type: published
              Y: 2026
          Identifiers:
            – Type: issn-electronic
              Value: 1369-1600
          Numbering:
            – Type: volume
              Value: 31
            – Type: issue
              Value: 6
          Titles:
            – TitleFull: Addiction biology
              Type: main
ResultId 1