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Cathie Sudlow
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2020 – today
- 2023
- [j9]Hoda Abbasizanjani
, Fatemeh Torabi
Harmonising electronic health records for reproducible research: challenges, solutions and recommendations from a UK-wide COVID-19 research collaboration. BMC Medical Informatics Decis. Mak. 23(1): 8 (2023) - 2022
- [j8]Honghan Wu
A survey on clinical natural language processing in the United Kingdom from 2007 to 2022. npj Digit. Medicine 5 (2022) - 2021
- [j7]Huayu Zhang
Benchmarking network-based gene prioritization methods for cerebral small vessel disease. Briefings Bioinform. 22(5) (2021) - [j6]Kristiina Rannikmäe, Honghan Wu
Developing automated methods for disease subtyping in UK Biobank: an exemplar study on stroke. BMC Medical Informatics Decis. Mak. 21(1): 191 (2021) - [j5]D. Sykes, Andreas Grivas, Claire Grover, Richard Tobin, Cathie Sudlow, William Whiteley, Andrew M. McIntosh
Comparison of rule-based and neural network models for negation detection in radiology reports. Nat. Lang. Eng. 27(2): 203-224 (2021) - 2020
- [c2]Honghan Wu
Knowledge Driven Phenotyping. MIE 2020: 1327-1328
2010 – 2019
- 2019
- [j4]Beatrice Alex
Text mining brain imaging reports. J. Biomed. Semant. 10(1): 23:1-23:11 (2019) - [j3]Spiros C. Denaxas
UK phenomics platform for developing and validating electronic health record phenotypes: CALIBER. J. Am. Medical Informatics Assoc. 26(12): 1545-1559 (2019) - [j2]Emily Wheater, Grant Mair
A validated natural language processing algorithm for brain imaging phenotypes from radiology reports in UK electronic health records. BMC Medical Informatics Decis. Mak. 19(1): 184:1-184:11 (2019) - [j1]Keith Smith
Hierarchical complexity of the adult human structural connectome. NeuroImage 191: 205-215 (2019) - [c1]Spiros C. Denaxas, Helen Parkinson, Natalie K. Fitzpatrick, Cathie Sudlow, Harry Hemingway:
Analysing the Heterogeneity of Rule-Based EHR Phenotyping Algorithms in CALIBER and the UK Biobank. KDH@IJCAI 2019: 6-14 - [i2]Philip John Gorinski, Honghan Wu
Named Entity Recognition for Electronic Health Records: A Comparison of Rule-based and Machine Learning Approaches. CoRR abs/1903.03985 (2019) - [i1]Honghan Wu, Karen Hodgson, Sue Dyson, Katherine I. Morley, Zina M. Ibrahim, Ehtesham Iqbal, Robert Stewart, Richard J. B. Dobson, Cathie Sudlow:
Contextualised concept embedding for efficiently adapting natural language processing models for phenotype identification. CoRR abs/1903.03995 (2019)
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last updated on 2024-10-07 21:11 CEST by the dblp team
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