@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},
}

{"_id":"ihErvoDPYt2u8WLtH","bibbaseid":"yang-wang-rawat-mitra-yu-knowledgeinjectedpromptbasedfinetuningformultilabelfewshoticdcoding-2022","author_short":["Yang, Z.","Wang, S.","Rawat, B. P. S.","Mitra, A.","Yu, H."],"bibdata":{"bibtype":"article","type":"article","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":[{"propositions":[],"lastnames":["Yang"],"firstnames":["Zhichao"],"suffixes":[]},{"propositions":[],"lastnames":["Wang"],"firstnames":["Shufan"],"suffixes":[]},{"propositions":[],"lastnames":["Rawat"],"firstnames":["Bhanu","Pratap","Singh"],"suffixes":[]},{"propositions":[],"lastnames":["Mitra"],"firstnames":["Avijit"],"suffixes":[]},{"propositions":[],"lastnames":["Yu"],"firstnames":["Hong"],"suffixes":[]}],"month":"December","year":"2022","pmid":"36848298","note":"Publisher: NIH Public Access","pages":"1767","bibtex":"@article{yang_knowledge_2022,\n\ttitle = {Knowledge {Injected} {Prompt} {Based} {Fine}-tuning for {Multi}-label {Few}-shot {ICD} {Coding}},\n\tvolume = {2022},\n\turl = {https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9958514/},\n\tabstract = {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 ...},\n\tlanguage = {en},\n\turldate = {2024-04-10},\n\tjournal = {Proceedings of the Conference on Empirical Methods in Natural Language Processing. Conference on Empirical Methods in Natural Language Processing},\n\tauthor = {Yang, Zhichao and Wang, Shufan and Rawat, Bhanu Pratap Singh and Mitra, Avijit and Yu, Hong},\n\tmonth = dec,\n\tyear = {2022},\n\tpmid = {36848298},\n\tnote = {Publisher: NIH Public Access},\n\tpages = {1767},\n}\n\n","author_short":["Yang, Z.","Wang, S.","Rawat, B. P. S.","Mitra, A.","Yu, H."],"key":"yang_knowledge_2022","id":"yang_knowledge_2022","bibbaseid":"yang-wang-rawat-mitra-yu-knowledgeinjectedpromptbasedfinetuningformultilabelfewshoticdcoding-2022","role":"author","urls":{"Paper":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9958514/"},"metadata":{"authorlinks":{}},"html":""},"bibtype":"article","biburl":"http://fenway.cs.uml.edu/papers/pubs-all.bib","dataSources":["TqaA9miSB65nRfS5H"],"keywords":[],"search_terms":["knowledge","injected","prompt","based","fine","tuning","multi","label","few","shot","icd","coding","yang","wang","rawat","mitra","yu"],"title":"Knowledge Injected Prompt Based Fine-tuning for Multi-label Few-shot ICD Coding","year":2022}