Cathie Sudlow

12 papers Journal 10Unranked 2
YearRankTypeTitle / Venue / Authors
2023 J jnl
Harmonising electronic health records for reproducible research: challenges, solutions and recommendations from a UK-wide COVID-19 research collaboration.
BMC Medical Informatics Decis. Mak.
Hoda Abbasizanjani, Fatemeh Torabi, Stuart Bedston, Thomas Bolton, Gareth Davies, Spiros C. 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 M. Wood, Ashley Akbari
2022 J jnl
A survey on clinical natural language processing in the United Kingdom from 2007 to 2022.
npj Digit. Medicine
Honghan Wu, Minhong Wang, Jinge Wu, Farah Francis, Yun-Hsuan Chang, Alex Shavick, Hang Dong, Michael Tin Chung 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
2021 J jnl
Benchmarking network-based gene prioritization methods for cerebral small vessel disease.
Briefings Bioinform.
Huayu Zhang, Amy Ferguson, Grant Robertson, Muchen Jiang, Teng Zhang, Cathie Sudlow, Keith Smith, Kristiina Rannikmäe, Honghan Wu
2021 J jnl
Comparison of rule-based and neural network models for negation detection in radiology reports.
Nat. Lang. Eng.
D. Sykes, Andreas Grivas, Claire Grover, Richard Tobin, Cathie Sudlow, William Whiteley, Andrew M. McIntosh, Heather Whalley, Beatrice Alex
2021 J jnl
Developing automated methods for disease subtyping in UK Biobank: an exemplar study on stroke.
BMC Medical Informatics Decis. Mak.
Kristiina Rannikmäe, Honghan Wu, Steven Tominey, William Whiteley, Naomi Allen, Cathie Sudlow
2020 — conf
Knowledge Driven Phenotyping.
MIE
Honghan Wu, Minhong Wang, Qianyi Zeng, Wenjun Chen, Thomas Nind, Emily R. Jefferson, Marion Bennie, Corri Black, Jeff Z. Pan, Cathie Sudlow, Dave Robertson
2019 J jnl
A validated natural language processing algorithm for brain imaging phenotypes from radiology reports in UK electronic health records.
BMC Medical Informatics Decis. Mak.
Emily Wheater, Grant Mair, Cathie Sudlow, Beatrice Alex, Claire Grover, William Whiteley
2019 — conf
Analysing the Heterogeneity of Rule-Based EHR Phenotyping Algorithms in CALIBER and the UK Biobank.
KDH@IJCAI
Spiros C. Denaxas, Helen Parkinson, Natalie K. Fitzpatrick, Cathie Sudlow, Harry Hemingway
2019 J jnl
Contextualised concept embedding for efficiently adapting natural language processing models for phenotype identification.
CoRR
Honghan Wu, Karen Hodgson, Sue Dyson, Katherine I. Morley, Zina M. Ibrahim, Ehtesham Iqbal, Robert Stewart, Richard J. B. Dobson, Cathie Sudlow
2019 J jnl
Named Entity Recognition for Electronic Health Records: A Comparison of Rule-based and Machine Learning Approaches.
CoRR
Philip John Gorinski, Honghan Wu, Claire Grover, Richard Tobin, Conn Talbot, Heather Whalley, Cathie Sudlow, William Whiteley, Beatrice Alex
2019 J jnl
Text mining brain imaging reports.
J. Biomed. Semant.
Beatrice Alex, Claire Grover, Richard Tobin, Cathie Sudlow, Grant Mair, William Whiteley
2019 J jnl
UK phenomics platform for developing and validating electronic health record phenotypes: CALIBER.
J. Am. Medical Informatics Assoc.
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