APA (7th ed.) Citation

YL, L., CF, C., MH, W., KF, H., PT, C., YJ, C., & PF, C. (2025). Fine-tuning Llama-2-13B with AI-generated medical diagnoses: A novel strategy for optimizing ICD coding in gynecologic oncology. Taiwanese journal of obstetrics & gynecology, 64(6), 978. https://doi.org/10.1016/j.tjog.2025.02.006

Chicago Style (17th ed.) Citation

YL, Liang, Chen CF, Wu MH, Hsu KF, Chang PT, Chuang YJ, and Chen PF. "Fine-tuning Llama-2-13B with AI-generated Medical Diagnoses: A Novel Strategy for Optimizing ICD Coding in Gynecologic Oncology." Taiwanese Journal of Obstetrics & Gynecology 64, no. 6 (2025): 978. https://doi.org/10.1016/j.tjog.2025.02.006.

MLA (9th ed.) Citation

YL, Liang, et al. "Fine-tuning Llama-2-13B with AI-generated Medical Diagnoses: A Novel Strategy for Optimizing ICD Coding in Gynecologic Oncology." Taiwanese Journal of Obstetrics & Gynecology, vol. 64, no. 6, 2025, p. 978, https://doi.org/10.1016/j.tjog.2025.02.006.