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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Walker_Transformers and large language models are efficient feature extractors for electronic health record studies_AAM.pdf Access restricted to UCL open access staff until 5 September 2025. Download (1MB) |
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nlp_antibiotic_indications_supplement_20250226.pdf - Accepted Version Access restricted to UCL open access staff until 5 September 2025. Download (763kB) |
Type: | Article |
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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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