Inductive thematic analysis of healthcare qualitative interviews using open-source large language models: How does it compare to traditional methods?

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Bibliographic Details
Title: Inductive thematic analysis of healthcare qualitative interviews using open-source large language models: How does it compare to traditional methods?
Authors: Mathis WS; Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA. Electronic address: Walter.Mathis@Yale.edu., Zhao S; Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA., Pratt N; Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA., Weleff J; Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA., De Paoli S; Division of Sociology, School of Business, Law and Social Sciences, Abertay University, Dundee, Scotland, United Kingdom.
Source: Computer methods and programs in biomedicine [Comput Methods Programs Biomed] 2024 Oct; Vol. 255, pp. 108356. Date of Electronic Publication: 2024 Jul 24.
Publication Type: Journal Article; Comparative Study
Journal Info: Publisher: Elsevier Scientific Publishers Country of Publication: Ireland NLM ID: 8506513 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1872-7565 (Electronic) Linking ISSN: 01692607 NLM ISO Abbreviation: Comput Methods Programs Biomed Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1872-7565
DOI:10.1016/j.cmpb.2024.108356