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Ontology-driven and weakly supervised rare disease identification from clinical notes.

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第一作者: Hang,Dong
第一单位: Centre for Medical Informatics, Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, United Kingdom. hang.dong@cs.ox.ac.uk.;Health Data Research UK, London, United Kingdom. hang.dong@cs.ox.ac.uk.;Department of Computer Science, University of Oxford, Oxford, United Kingdom. hang.dong@cs.ox.ac.uk.
作者单位: Centre for Medical Informatics, Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, United Kingdom. hang.dong@cs.ox.ac.uk.;Health Data Research UK, London, United Kingdom. hang.dong@cs.ox.ac.uk.;Department of Computer Science, University of Oxford, Oxford, United Kingdom. hang.dong@cs.ox.ac.uk. [1] Centre for Medical Informatics, Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, United Kingdom.;Health Data Research UK, London, United Kingdom. [2] Advanced Care Research Centre, Usher Institute, University of Edinburgh, Edinburgh, United Kingdom. [3] Institute of Health Informatics, University College London, London, United Kingdom. [4] Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom. [5] Department of Computer Science, The University of Manchester, Manchester, United Kingdom. [6] Edinburgh Futures Institute, University of Edinburgh, Edinburgh, United Kingdom. [7] Health Data Research UK, London, United Kingdom.;Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom. [8] Health Data Research UK, London, United Kingdom. honghan.wu@ucl.ac.uk.;Institute of Health Informatics, University College London, London, United Kingdom. honghan.wu@ucl.ac.uk. [9]
DOI 10.1186/s12911-023-02181-9
PMID 37147628
发布时间 2025-05-30
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