Inductive thematic analysis of healthcare qualitative interviews using open-source large language models: How does it compare to traditional methods?
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| Title: | Inductive thematic analysis of healthcare qualitative interviews using open-source large language models: How does it compare to traditional methods? |
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| Authors: | Mathis, Walter S1, Walter.Mathis@Yale.edu, Zhao, Sophia1, Pratt, Nicholas1, Weleff, Jeremy1, De Paoli, Stefano2 |
| Source: | Computer Methods & Programs in Biomedicine; Oct2024, Vol. 255, pN.PAG-N.PAG, 1p |
| Database: | Applied Science & Technology Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 179260856 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=179260856 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.cmpb.2024.108356 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 1 StartPage: N.PAG Titles: – TitleFull: Inductive thematic analysis of healthcare qualitative interviews using open-source large language models: How does it compare to traditional methods? Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Mathis, Walter S – PersonEntity: Name: NameFull: Zhao, Sophia – PersonEntity: Name: NameFull: Pratt, Nicholas – PersonEntity: Name: NameFull: Weleff, Jeremy – PersonEntity: Name: NameFull: De Paoli, Stefano IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 10 Text: Oct2024 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 01692607 Numbering: – Type: volume Value: 255 Titles: – TitleFull: Computer Methods & Programs in Biomedicine Type: main |
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