Development and Validation of Machine-Learning Algorithms to Predict the Onset of Depression Using Electronic Health Record Data: A Prognostic Modeling Study.
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| Title: | Development and Validation of Machine-Learning Algorithms to Predict the Onset of Depression Using Electronic Health Record Data: A Prognostic Modeling Study. |
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| Authors: | Chen FR; Georgia State University Andrew Young School of Policy Studies, Atlanta, GA USA., Huang JL; University of Florida, College of Pharmacy, Gainesville, FL USA., Wilson DL; University of Florida, College of Pharmacy, Gainesville, FL USA., Lo-Ciganic WJ; University of Pittsburgh School of Medicine, Pittsburgh, PA USA.; North Florida/South Georgia Veterans Health System, Geriatric Research Education and Clinical Center, Gainesville, FL USA. |
| Source: | Studies in health technology and informatics [Stud Health Technol Inform] 2025 Aug 07; Vol. 329, pp. 997-1001. |
| Publication Type: | Journal Article; Validation Study |
| Journal Info: | Publisher: IOS Press Country of Publication: Netherlands NLM ID: 9214582 Publication Model: Print Cited Medium: Internet ISSN: 1879-8365 (Electronic) Linking ISSN: 09269630 NLM ISO Abbreviation: Stud Health Technol Inform Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 40776007 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Development and Validation of Machine-Learning Algorithms to Predict the Onset of Depression Using Electronic Health Record Data: A Prognostic Modeling Study. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Chen+FR%22">Chen FR</searchLink>; Georgia State University Andrew Young School of Policy Studies, Atlanta, GA USA.<br /><searchLink fieldCode="AU" term="%22Huang+JL%22">Huang JL</searchLink>; University of Florida, College of Pharmacy, Gainesville, FL USA.<br /><searchLink fieldCode="AU" term="%22Wilson+DL%22">Wilson DL</searchLink>; University of Florida, College of Pharmacy, Gainesville, FL USA.<br /><searchLink fieldCode="AU" term="%22Lo-Ciganic+WJ%22">Lo-Ciganic WJ</searchLink>; University of Pittsburgh School of Medicine, Pittsburgh, PA USA.; North Florida/South Georgia Veterans Health System, Geriatric Research Education and Clinical Center, Gainesville, FL USA. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%229214582%22">Studies in health technology and informatics</searchLink> [Stud Health Technol Inform] 2025 Aug 07; Vol. 329, pp. 997-1001. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article; Validation Study – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22IOS+Press%22">IOS Press </searchLink><i>Country of Publication: </i>Netherlands <i>NLM ID: </i>9214582 <i>Publication Model: </i>Print <i>Cited Medium: </i>Internet <i>ISSN: </i>1879-8365 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2209269630%22">09269630 </searchLink><i>NLM ISO Abbreviation: </i>Stud Health Technol Inform <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=40776007 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3233/SHTI250989 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 997 Titles: – TitleFull: Development and Validation of Machine-Learning Algorithms to Predict the Onset of Depression Using Electronic Health Record Data: A Prognostic Modeling Study. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Chen FR – PersonEntity: Name: NameFull: Huang JL – PersonEntity: Name: NameFull: Wilson DL – PersonEntity: Name: NameFull: Lo-Ciganic WJ IsPartOfRelationships: – BibEntity: Dates: – D: 07 M: 08 Text: 2025 Aug 07 Type: published Y: 2025 Identifiers: – Type: issn-electronic Value: 1879-8365 Numbering: – Type: volume Value: 329 Titles: – TitleFull: Studies in health technology and informatics Type: main |
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