@article{yang_knowledge_2022,
	title = {Knowledge {Injected} {Prompt} {Based} {Fine}-tuning for {Multi}-label {Few}-shot {ICD} {Coding}},
	volume = {2022},
	url = {https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9958514/},
	abstract = {Automatic International Classification of Diseases (ICD) coding aims to assign multiple ICD codes to a medical note with average length of 3,000+ tokens. This task is challenging due to a high-dimensional space of multi-label assignment (tens of thousands ...},
	language = {en},
	urldate = {2024-04-10},
	journal = {Proceedings of the Conference on Empirical Methods in Natural Language Processing. Conference on Empirical Methods in Natural Language Processing},
	author = {Yang, Zhichao and Wang, Shufan and Rawat, Bhanu Pratap Singh and Mitra, Avijit and Yu, Hong},
	month = dec,
	year = {2022},
	pmid = {36848298},
	note = {Publisher: NIH Public Access},
	pages = {1767},
}

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