Author

Clive Stringer

King's College Hospital NHS Foundation Trust

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 3

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Research Focus:benchmarking· 2 Research Focus:deconvolution· 2 Assay:electronic health records· 2 Research Focus:database / resource· 1 Organism:human· 1

Frequent Co-Authors

Richard DobsoniD· 3 shared Amos FolariniD· 2 shared Angus RobertsiD· 2 shared Asha Agrawal· 2 shared Honghan WuiD· 2 shared Ismail Emre Kartoglu· 2 shared Richard JacksoniD· 2 shared Robert J. StewartiD· 2 shared

Activity by Year

2017-2018 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 37 mutual co-author links

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3 shared papersBioinformatics

Richard DobsonORCID

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Author profile →

3 papers

Recent·Most cited

CogStack - Experiences Of Deploying IntegratedInformation Retrieval And Extraction Services In A Large National Health Service Foundation Trust Hospital

Richard Jackson, Ismail Emre Kartoglu, Asha Agrawal, Kenneth Lui, Honghan Wu, Tudor Groza, Angus Roberts, Genevive Gorrell, Xingyi Song, Damian Lewsley, Doug Northwood, Amos Folarin, Clive Stringer, Robert J. Stewart, Richard Dobson

The paper describes the development and deployment of an open-source information retrieval and extraction system in a UK hospital to improve data flow and governance while supporting clinical and research needs.

BMC Medical Informatics and Decision Making · Jun 25, 2018Peer-reviewedBioinformatics

SemEHR: A General-purpose Semantic Search System to Surface Semantic Data from Clinical Notes for Tailored Care, Trial Recruitment and Clinical Research

Honghan Wu, Giulia Toti, Katherine I. Morley, Zina M. Ibrahim, Amos Folarin, Richard Jackson, Ismail Emre Kartoglu, Asha Agrawal, Clive Stringer, Darren Gale, Genevieve Gorrell, Angus Roberts, Matthew T.M. Broadbent, Robert J. Stewart, Richard Dobson

SemEHR is a semantic search system for clinical notes that improves data extraction and patient recruitment in healthcare settings.

Journal of the American Medical Informatics Association · Jan 8, 2018Peer-reviewedBioinformatics

Network analysis of patient flow in two UK acute care hospitals identifies key sub-networks for A&E performance

Daniel M. Bean, Clive Stringer, Neeraj Beeknoo, James Teo, Richard Dobson

This study analyzes patient flow networks in two UK hospitals to identify sub-networks linked to A&E performance, finding that 13-17% of edges account for 83-90% of flow and that clinical decision units correlate with better A&E outcomes.

PLoS ONE · Oct 2, 2017Peer-reviewedBioinformatics