首页> Journal of biomedical informatics> Discharge summary hospital course summarisation of in patient Electronic Health Record text with clinical concept guided deep pre-trained Transformer models.

Discharge summary hospital course summarisation of in patient Electronic Health Record text with clinical concept guided deep pre-trained Transformer models.

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第一作者： Thomas,Searle

第一单位： Department of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK. Electronic address: thomas.searle@kcl.ac.uk.

作者： Thomas,Searle ^[1] ; Zina,Ibrahim ^[2] ; James,Teo ^[3] ; Richard J B,Dobson ^[4]

作者单位： Department of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK. Electronic address: thomas.searle@kcl.ac.uk. ^[1] Department of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK. ^[2] King's College Hospital NHS Foundation Trust, London, UK. ^[3] Department of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK; Institute of Health Informatics, University College London, London, UK. ^[4]

关键词 Clinical natural language processing Clinical text summarisation Pre-trained, deep learning, fine-tuned models for clinical summarisation

医学主题词人类(Humans);电子健康病历(Electronic Health Records);病人出院(Patient Discharge);健康记录, 个人(Health Records, Personal);文献工作(Documentation);医院(Hospitals);自然语言处理(Natural Language Processing)

DOI 10.1016/j.jbi.2023.104358

PMID 37023846

发布时间 2023-05-16

基金项目

MRC_/Medical Research Council/United Kingdom CSO_/Chief Scientist Office/United Kingdom WT_/Wellcome Trust/United Kingdom DH_/Department of Health/United Kingdom BHF_/British Heart Foundation/United Kingdom

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