Leveraging Summary Guidance on Medical Report Summarization

doi:10.1109/JBHI.2023.3304376

CORC > 自动化研究所 > 中国科学院自动化研究所 > 多模态人工智能系统全国重点实验室

	Leveraging Summary Guidance on Medical Report Summarization
	Zhu, Yunqi 1,2; Yang, Xuebing 2; Wu, Yuanyuan 1; Zhang, Wensheng 1,2
刊名	IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS
	2023-10-01
卷号	27 期号:10 页码:5066-5075
关键词	Medical report summarization abstractive summarization summary guidance sequence-to-sequence
ISSN号	2168-2194
DOI	10.1109/JBHI.2023.3304376
通讯作者	Yang, Xuebing(yangxuebing2013@ia.ac.cn) ; Zhang, Wensheng(zhang-wenshengia@hotmail.com)
英文摘要	This study presents three deidentified large medical text datasets, named DISCHARGE, ECHO and RADIOLOGY, which contain 50 K, 16 K and 378 K pairs of report and summary that are derived from MIMIC-III, respectively. We implement convincing baselines of automated abstractive summarization on the created datasets with pre-trained encoder-decoder language models, including BERT2BERT, BERTShare, RoBERTaShare, Pegasus, ProphetNet, T5-large, BART and GSUM. Further, based on the BART model, we leverage the sampled summaries from the training set as prior knowledge guidance, for encoding additional contextual representations of the guidance with the encoder and enhancing the decoding representations in the decoder. The experimental results confirm the improvement of ROUGE scores and BERTScore made by the proposed method.
资助项目	National Key R&D Program of China[2021ZD0111000] ; National Natural Science Foundation of China[U22B2048] ; National Natural Science Foundation of China[62203437] ; National Natural Science Foundation of China[62006139] ; National Natural Science Foundation of China[61976212] ; Hainan Provincial Natural Science Foundation of China[622RC618]
WOS研究方向	Computer Science ; Mathematical & Computational Biology ; Medical Informatics
语种	英语
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
WOS记录号	WOS:001144044400001
资助机构	National Key R&D Program of China ; National Natural Science Foundation of China ; Hainan Provincial Natural Science Foundation of China
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/54807]
专题	多模态人工智能系统全国重点实验室
通讯作者	Yang, Xuebing; Zhang, Wensheng
作者单位	1.Hainan Univ, Sch Informat & Commun Engn, Haikou 570228, Hainan, Peoples R China 2.Chinese Acad Sci, Inst Automat, State Key Lab Multimodal Artificial Intelligence, Beijing 100190, Peoples R China
推荐引用方式 GB/T 7714	Zhu, Yunqi,Yang, Xuebing,Wu, Yuanyuan,et al. Leveraging Summary Guidance on Medical Report Summarization[J]. IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS,2023,27(10):5066-5075.
APA	Zhu, Yunqi,Yang, Xuebing,Wu, Yuanyuan,&Zhang, Wensheng.(2023).Leveraging Summary Guidance on Medical Report Summarization.IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS,27(10),5066-5075.
MLA	Zhu, Yunqi,et al."Leveraging Summary Guidance on Medical Report Summarization".IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS 27.10(2023):5066-5075.