Paul Lewis-Borman

Government of the United Kingdom - NHS Test and Trace

England

United Kingdom

SCHOLARLY PAPERS

1

DOWNLOADS

732

SSRN CITATIONS

0

CROSSREF CITATIONS

0

Scholarly Papers (1)

Actions:
Email selected abstracts
1.

Machine Learning for Determining Lateral Flow Device Results in Asymptomatic Population: A Diagnostic Accuracy Study

Number of pages: 29 Posted: 21 Jun 2021
AI LFD Consortium, Robert Banathy, Mark Branigan, Paul Lewis-Borman, Nishali Patel, Lennard Lee, Tom Alan Fowler, Camila C. S. Caiado, Anna Dijkstra, Piotr Chudzik, Paria Yousefi, Avelino Javer, Bram Van Meurs, Lionel Tarassenko, Benjamin Irving, Celina Whalley, Neeraj Lal, Helen Robbins, Elaine Leung and Andrew D. Beggs
Independent, Government of the United Kingdom - NHS Test and Trace, Government of the United Kingdom - NHS Test and Trace, Government of the United Kingdom - NHS Test and Trace, Government of the United Kingdom - NHS Test and Trace, Government of the United Kingdom - NHS Test and Trace, Government of the United Kingdom - NHS Test and Trace, Durham University, Sensyne Health, Sensyne Health, Sensyne Health, Sensyne Health, Sensyne Health, Sensyne Health, Sensyne Health, University of Birmingham, University of Birmingham, University of Birmingham, University of Birmingham and University of Birmingham - Institute of Biomedical Research
Downloads 732 (65,007)
Citation 2

Abstract:

Loading...