Leveraging Summary Guidance on Medical Report Summarization

doi:10.1109/JBHI.2023.3304376

	Leveraging Summary Guidance on Medical Report Summarization
	Zhu, Yunqi 1,2; Yang, Xuebing2 ; Wu, Yuanyuan 1; Zhang, Wensheng1,2
发表期刊	IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS
ISSN	2168-2194
	2023-10-01
卷号	27 期号:10 页码:5066-5075
通讯作者	Yang, Xuebing(yangxuebing2013@ia.ac.cn) ; Zhang, Wensheng(zhang-wenshengia@hotmail.com)
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.
关键词	Medical report summarization abstractive summarization summary guidance sequence-to-sequence
DOI	10.1109/JBHI.2023.3304376
收录类别	SCI
语种	英语
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]
项目资助者	National Key R&D Program of China ; National Natural Science Foundation of China ; Hainan Provincial Natural Science Foundation of China
WOS研究方向	Computer Science ; Mathematical & Computational Biology ; Medical Informatics
WOS类目	Computer Science, Information Systems ; Computer Science, Interdisciplinary Applications ; Mathematical & Computational Biology ; Medical Informatics
WOS记录号	WOS:001144044400001
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
引用统计
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/54808
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
第一作者单位	中国科学院自动化研究所
通讯作者单位	中国科学院自动化研究所
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.