Bennis, I., & Mouwafaq, S. (2025). Advancing AI-driven thematic analysis in qualitative research: a comparative study of nine generative models on Cutaneous Leishmaniasis data. BMC Medical Informatics & Decision Making, 25(1), 1-14. https://doi.org/10.1186/s12911-025-02961-5
ISO-690 (author-date, English)BENNIS, Issam und MOUWAFAQ, Safwane, 2025. Advancing AI-driven thematic analysis in qualitative research: a comparative study of nine generative models on Cutaneous Leishmaniasis data. BMC Medical Informatics & Decision Making. 10 März 2025. Vol. 25, no. 1, p. 1-14. DOI 10.1186/s12911-025-02961-5.
Modern Language Association 9th editionBennis, I., und S. Mouwafaq. „Advancing AI-Driven Thematic Analysis in Qualitative Research: A Comparative Study of Nine Generative Models on Cutaneous Leishmaniasis Data.“. BMC Medical Informatics & Decision Making, Bd. 25, Nr. 1, März 2025, S. 1-14, https://doi.org/10.1186/s12911-025-02961-5.
Mohr Siebeck - Recht (Deutsch - Österreich)Bennis, Issam/Mouwafaq, Safwane: Advancing AI-driven thematic analysis in qualitative research: a comparative study of nine generative models on Cutaneous Leishmaniasis data., BMC Medical Informatics & Decision Making 2025, 1-14.
Emerald - HarvardBennis, I. und Mouwafaq, S. (2025), „Advancing AI-driven thematic analysis in qualitative research: a comparative study of nine generative models on Cutaneous Leishmaniasis data.“, BMC Medical Informatics & Decision Making, Vol. 25 No. 1, S. 1-14.