Evaluating the accuracy of a state-of-the-art large language model for prediction of admissions from the emergency room.

MLA

Glicksberg, Benjamin S., et al. “Evaluating the Accuracy of a State-of-the-Art Large Language Model for Prediction of Admissions from the Emergency Room.” Journal of the American Medical Informatics Association : JAMIA, vol. 31, no. 9, Sept. 2024, pp. 1921–28. EBSCOhost, https://doi.org/10.1093/jamia/ocae103.

APA

Glicksberg, B. S., Timsina, P., Patel, D., Sawant, A., Vaid, A., Raut, G., Charney, A. W., Apakama, D., Carr, B. G., Freeman, R., Nadkarni, G. N., & Klang, E. (2024). Evaluating the accuracy of a state-of-the-art large language model for prediction of admissions from the emergency room. Journal of the American Medical Informatics Association : JAMIA, 31(9), 1921–1928. https://doi.org/10.1093/jamia/ocae103

Chicago

Glicksberg, Benjamin S, Prem Timsina, Dhaval Patel, Ashwin Sawant, Akhil Vaid, Ganesh Raut, Alexander W Charney, et al. 2024. “Evaluating the Accuracy of a State-of-the-Art Large Language Model for Prediction of Admissions from the Emergency Room.” Journal of the American Medical Informatics Association : JAMIA 31 (9): 1921–28. doi:10.1093/jamia/ocae103.