Comparing random forest and elastic net models to predict substance use disorder transitions in participants with cannabis and stimulant use: Evidence from the All of Us cohort.
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| Title: | Comparing random forest and elastic net models to predict substance use disorder transitions in participants with cannabis and stimulant use: Evidence from the All of Us cohort. |
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| Authors: | Zamora G; University of California, San Diego, 9500 Gilman Dr La Jolla, CA 92093, USA. Electronic address: g1zamora@health.ucsd.edu., Gunawan T; Department of Medical and Clinical Psychology, Uniformed Services University of the Health Sciences, Bethesda, MD 20814, USA; Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD 20817, USA. Electronic address: tommy.gunawan.ctr@usuhs.edu., Zhao Q; Department of Radiology, Weill Cornell Medicine, New York, NY 10065, USA. Electronic address: qiz4006@med.cornell.edu., Meruelo AD; University of California, San Diego, 9500 Gilman Dr La Jolla, CA 92093, USA. Electronic address: ameruelo@health.ucsd.edu. |
| Source: | Drug and alcohol dependence [Drug Alcohol Depend] 2026 Jan 01; Vol. 278, pp. 113012. Date of Electronic Publication: 2025 Dec 18. |
| Publication Type: | Journal Article; Comparative Study |
| Journal Info: | Publisher: Elsevier Country of Publication: Ireland NLM ID: 7513587 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-0046 (Electronic) Linking ISSN: 03768716 NLM ISO Abbreviation: Drug Alcohol Depend Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| FullText | Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 41442977 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Comparing random forest and elastic net models to predict substance use disorder transitions in participants with cannabis and stimulant use: Evidence from the All of Us cohort. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Zamora+G%22">Zamora G</searchLink>; University of California, San Diego, 9500 Gilman Dr La Jolla, CA 92093, USA. Electronic address: g1zamora@health.ucsd.edu.<br /><searchLink fieldCode="AU" term="%22Gunawan+T%22">Gunawan T</searchLink>; Department of Medical and Clinical Psychology, Uniformed Services University of the Health Sciences, Bethesda, MD 20814, USA; Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD 20817, USA. Electronic address: tommy.gunawan.ctr@usuhs.edu.<br /><searchLink fieldCode="AU" term="%22Zhao+Q%22">Zhao Q</searchLink>; Department of Radiology, Weill Cornell Medicine, New York, NY 10065, USA. Electronic address: qiz4006@med.cornell.edu.<br /><searchLink fieldCode="AU" term="%22Meruelo+AD%22">Meruelo AD</searchLink>; University of California, San Diego, 9500 Gilman Dr La Jolla, CA 92093, USA. Electronic address: ameruelo@health.ucsd.edu. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%227513587%22">Drug and alcohol dependence</searchLink> [Drug Alcohol Depend] 2026 Jan 01; Vol. 278, pp. 113012. <i>Date of Electronic Publication: </i>2025 Dec 18. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article; Comparative Study – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Elsevier%22">Elsevier </searchLink><i>Country of Publication: </i>Ireland <i>NLM ID: </i>7513587 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1879-0046 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2203768716%22">03768716 </searchLink><i>NLM ISO Abbreviation: </i>Drug Alcohol Depend <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=41442977 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.drugalcdep.2025.113012 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 113012 Titles: – TitleFull: Comparing random forest and elastic net models to predict substance use disorder transitions in participants with cannabis and stimulant use: Evidence from the All of Us cohort. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Zamora G – PersonEntity: Name: NameFull: Gunawan T – PersonEntity: Name: NameFull: Zhao Q – PersonEntity: Name: NameFull: Meruelo AD IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Text: 2026 Jan 01 Type: published Y: 2026 Identifiers: – Type: issn-electronic Value: 1879-0046 Numbering: – Type: volume Value: 278 Titles: – TitleFull: Drug and alcohol dependence Type: main |
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