AnEMIC: A Framework for Benchmarking ICD Coding Models.

MLA

Kim, Juyong, et al. “AnEMIC: A Framework for Benchmarking ICD Coding Models.” Proceedings of the Conference on Empirical Methods in Natural Language Processing. Conference on Empirical Methods in Natural Language Processing, vol. 2022, no. SD, Dec. 2022, pp. 109–20. EBSCOhost, https://doi.org/10.18653/v1/2022.emnlp-demos.11.

APA

Kim, J., Sharma, A., Shanbhogue, S., Ravikumar, P., & Weiss, J. C. (2022). AnEMIC: A Framework for Benchmarking ICD Coding Models. Proceedings of the Conference on Empirical Methods in Natural Language Processing. Conference on Empirical Methods in Natural Language Processing, 2022(SD), 109–120. https://doi.org/10.18653/v1/2022.emnlp-demos.11

Chicago

Kim, Juyong, Abheesht Sharma, Suhas Shanbhogue, Pradeep Ravikumar, and Jeremy C Weiss. 2022. “AnEMIC: A Framework for Benchmarking ICD Coding Models.” Proceedings of the Conference on Empirical Methods in Natural Language Processing. Conference on Empirical Methods in Natural Language Processing 2022 (SD): 109–20. doi:10.18653/v1/2022.emnlp-demos.11.