A comparative study of large language model-based zero-shot inference and task-specific supervised classification of breast cancer pathology reports.

MLA

Sushil, Madhumita, et al. “A Comparative Study of Large Language Model-Based Zero-Shot Inference and Task-Specific Supervised Classification of Breast Cancer Pathology Reports.” Journal of the American Medical Informatics Association : JAMIA, vol. 31, no. 10, Oct. 2024, pp. 2315–27. EBSCOhost, https://doi.org/10.1093/jamia/ocae146.

APA

Sushil, M., Zack, T., Mandair, D., Zheng, Z., Wali, A., Yu, Y.-N., Quan, Y., Lituiev, D., & Butte, A. J. (2024). A comparative study of large language model-based zero-shot inference and task-specific supervised classification of breast cancer pathology reports. Journal of the American Medical Informatics Association : JAMIA, 31(10), 2315–2327. https://doi.org/10.1093/jamia/ocae146

Chicago

Sushil, Madhumita, Travis Zack, Divneet Mandair, Zhiwei Zheng, Ahmed Wali, Yan-Ning Yu, Yuwei Quan, Dmytro Lituiev, and Atul J Butte. 2024. “A Comparative Study of Large Language Model-Based Zero-Shot Inference and Task-Specific Supervised Classification of Breast Cancer Pathology Reports.” Journal of the American Medical Informatics Association : JAMIA 31 (10): 2315–27. doi:10.1093/jamia/ocae146.