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ICDXML: enhancing ICD coding with probabilistic label trees and dynamic semantic representations.

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第一作者： Zeqiang,Wang

第一单位： Department of Computing, Xi'an Jiaotong Liverpool University, Suzhou, 21500, China.;School of Computer Science and Electronic Engineering, University of Surrey, Surrey, GU2 7XH, UK.

作者： Zeqiang,Wang ^[1] ; Yuqi,Wang ^[2] ; Haiyang,Zhang ^[3] ; Wei,Wang ^[3] ; Jun,Qi ^[3] ; Jianjun,Chen ^[3] ; Nishanth,Sastry ^[4] ; Jon,Johnson ^[5] ; Suparna,De ^[6]

作者单位： Department of Computing, Xi'an Jiaotong Liverpool University, Suzhou, 21500, China.;School of Computer Science and Electronic Engineering, University of Surrey, Surrey, GU2 7XH, UK. ^[1] Department of Computing, Xi'an Jiaotong Liverpool University, Suzhou, 21500, China.;Department of Computer Science, University of Liverpool, Liverpool, L69 3BX, UK. ^[2] Department of Computing, Xi'an Jiaotong Liverpool University, Suzhou, 21500, China. ^[3] School of Computer Science and Electronic Engineering, University of Surrey, Surrey, GU2 7XH, UK. ^[4] UCL Social Research Institute, University College London, London, WC1E 6BT, UK. ^[5] School of Computer Science and Electronic Engineering, University of Surrey, Surrey, GU2 7XH, UK. s.de@surrey.ac.uk. ^[6]

关键词 Extreme multi-label classification Few-shot learning ICD coding Medical knowledge representation Natural language processing

医学主题词语义学(Semantics);国际疾病分类法(International Classification of Diseases);人类(Humans);自然语言处理(Natural Language Processing);算法(Algorithms);数据库, 事实型(Databases, Factual)

DOI 10.1038/s41598-024-69214-9

PMID 39112791

发布时间 2024-08-12

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