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

Yuan, Kevin; Yoon, Chang Ho; Gu, Qingze; Munby, Henry; Walker, Ann; Zhu, Tingting; Eyre, David W; (2025) Transformers and large language models are efficient feature extractors for electronic health record studies. Communications Medicine (In press).

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nlp_antibiotic_indications_supplement_20250226.pdf - Accepted Version
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Type: Article
Title: Transformers and large language models are efficient feature extractors for electronic health record studies
Publisher version: https://www.nature.com/commsmed
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher's terms and conditions.
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Inst of Clinical Trials and Methodology
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Inst of Clinical Trials and Methodology > MRC Clinical Trials Unit at UCL
URI: https://discovery.ucl.ac.uk/id/eprint/10205587
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