Cathie Sudlow

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 12

Top Topics

Electronic Health Records

Annotated Corpus

Knowledge Driven

Natural Language Processing

Top Venues

BMC Medical Informatics Decis. Mak.

Nat. Lang. Eng.

Publications

Hoda Abbasizanjani, Fatemeh Torabi, Stuart Bedston, Thomas Bolton, Gareth Davies, Spiros Denaxas, Rowena Griffiths, Laura Herbert, Sam Hollings, Spencer Keene, Kamlesh Khunti, Emily Lowthian, Jane Lyons, Mehrdad A. Mizani, John Nolan, Cathie Sudlow, Venexia Walker, William Whiteley, Angela Wood, Ashley Akbari
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) (2023)
Honghan Wu, Minhong Wang, Jinge Wu, Farah Francis, Yun-Hsuan Chang, Alex Shavick, Hang Dong, Michael T. C. Poon, Natalie K. Fitzpatrick, Adam P. Levine, Luke T. Slater, Alex Handy, Andreas Karwath, Georgios V. Gkoutos, Claude Chelala, Anoop D. Shah, Robert Stewart, Nigel Collier, Beatrice Alex, William Whiteley, Cathie Sudlow, Angus Roberts, Richard J. B. Dobson
A survey on clinical natural language processing in the United Kingdom from 2007 to 2022. npj Digit. Medicine 5 (2022)
Kristiina Rannikmäe, Honghan Wu, Steven Tominey, William Whiteley, Naomi Allen, Cathie Sudlow
Developing automated methods for disease subtyping in UK Biobank: an exemplar study on stroke. BMC Medical Informatics Decis. Mak. 21 (1) (2021)
D. Sykes, Andreas Grivas, Claire Grover, Richard Tobin, Cathie Sudlow, William Whiteley, Andrew M. McIntosh, Heather Whalley, Beatrice Alex
Comparison of rule-based and neural network models for negation detection in radiology reports. Nat. Lang. Eng. 27 (2) (2021)
Huayu Zhang, Amy Ferguson, Grant Robertson, Muchen Jiang, Teng Zhang, Cathie Sudlow, Keith Smith, Kristiina Rannikmäe, Honghan Wu
Benchmarking network-based gene prioritization methods for cerebral small vessel disease. Briefings Bioinform. 22 (5) (2021)
Honghan Wu, Minhong Wang, Qianyi Zeng, Wenjun Chen, Thomas Nind, Emily R. Jefferson, Marion Bennie, Corri Black, Jeff Z. Pan, Cathie Sudlow, Dave Robertson
Knowledge Driven Phenotyping. MIE (2020)
Philip John Gorinski, Honghan Wu, Claire Grover, Richard Tobin, Conn Talbot, Heather Whalley, Cathie Sudlow, William Whiteley, Beatrice Alex
Named Entity Recognition for Electronic Health Records: A Comparison of Rule-based and Machine Learning Approaches. CoRR (2019)
Beatrice Alex, Claire Grover, Richard Tobin, Cathie Sudlow, Grant Mair, William Whiteley
Text mining brain imaging reports. J. Biomed. Semant. 10 (1) (2019)
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. KHD@IJCAI (2019)
Spiros C. Denaxas, Arturo Gonzalez-Izquierdo, Kenan Direk, Natalie K. Fitzpatrick, Ghazaleh Fatemifar, Amitava Banerjee, Richard J. B. Dobson, Laurence J. Howe, Valerie Kuan, R. Tom Lumbers, Laura Pasea, Riyaz S. Patel, Anoop D. Shah, Aroon D. Hingorani, Cathie Sudlow, Harry Hemingway
UK phenomics platform for developing and validating electronic health record phenotypes: CALIBER. J. Am. Medical Informatics Assoc. 26 (12) (2019)
Emily Wheater, Grant Mair, Cathie Sudlow, Beatrice Alex, Claire Grover, William Whiteley
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) (2019)
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 (2019)