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Transformers and large language models are efficient feature extractors for electronic health record studies.

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第一作者： Kevin,Yuan

第一单位： Big Data Institute, Nuffield Department of Population Health, University of Oxford, Oxford, UK. kevin.yuan@ndph.ox.ac.uk.

作者： Kevin,Yuan ^[1] ; Chang Ho,Yoon ^[2] ; Qingze,Gu ^[3] ; Henry,Munby ^[4] ; A Sarah,Walker ^[5] ; Tingting,Zhu ^[6] ; David W,Eyre ^[7]

作者单位： Big Data Institute, Nuffield Department of Population Health, University of Oxford, Oxford, UK. kevin.yuan@ndph.ox.ac.uk. ^[1] Big Data Institute, Nuffield Department of Population Health, University of Oxford, Oxford, UK. ^[2] Nuffield Department of Medicine, University of Oxford, Oxford, UK. ^[3] University Hospitals Bristol & Weston NHS Trust, Bristol, UK. ^[4] Nuffield Department of Medicine, University of Oxford, Oxford, UK.;NIHR Health Protection Research Unit in Healthcare Associated Infections and Antimicrobial Resistance, University of Oxford, Oxford, UK.;NIHR Oxford Biomedical Research Centre, Oxford, UK. ^[5] Institute of Biomedical Engineering, University of Oxford, Oxford, UK. ^[6] Big Data Institute, Nuffield Department of Population Health, University of Oxford, Oxford, UK.;NIHR Health Protection Research Unit in Healthcare Associated Infections and Antimicrobial Resistance, University of Oxford, Oxford, UK.;NIHR Oxford Biomedical Research Centre, Oxford, UK.;Oxford University Hospitals NHS Foundation Trust, Oxford, UK. ^[7]

DOI 10.1038/s43856-025-00790-1

PMID 40119150

发布时间 2025-03-24

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Communications medicine

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Communications medicine

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