David A. Clifton
David A. Clifton
Professor of Clinical Machine Learning, University of Oxford
Verified email at eng.ox.ac.uk - Homepage
Title
Cited by
Cited by
Year
Novelty detection
MAF Pimentel, DA Clifton, L Clifton, L Tarassenko
Signal Processing 99, 215-249, 2014
9512014
Encyclopedia of structural health monitoring
C Boller, FK Chang, Y Fujino, K Worden, DA Clifton, L Tarassenko
Wiley, 2009
5192009
Whole-genome sequencing for prediction of Mycobacterium tuberculosis drug susceptibility and resistance: a retrospective cohort study
TM Walker, TA Kohl, SV Omar, J Hedge, CDO Elias, P Bradley, Z Iqbal, ...
The Lancet infectious diseases 15 (10), 1193-1202, 2015
3782015
Non-contact video-based vital sign monitoring using ambient light and auto-regressive models
L Tarassenko, M Villarroel, A Guazzi, J Jorge, DA Clifton, C Pugh
Physiological measurement 35 (5), 807, 2014
3182014
Machine learning and decision support in critical care
AEW Johnson, MM Ghassemi, S Nemati, KE Niehaus, DA Clifton, ...
Proceedings of the IEEE 104 (2), 444-466, 2016
1822016
Wireless technology in disease management and medicine
GD Clifford, D Clifton
Annual review of medicine 63, 479-492, 2012
1752012
Semiconductor wireless technology for chronic disease management
L Tarassenko, DA Clifton
Electronics Letters 47 (26), 30-32, 2011
171*2011
Photoplethysmographic derivation of respiratory rate: a review of relevant physiology
DJ Meredith, D Clifton, P Charlton, J Brooks, CW Pugh, L Tarassenko
Journal of medical engineering & technology 36 (1), 1-7, 2012
1662012
Signal-quality indices for the electrocardiogram and photoplethysmogram: Derivation and applications to wireless monitoring
C Orphanidou, T Bonnici, P Charlton, D Clifton, D Vallance, L Tarassenko
IEEE journal of biomedical and health informatics 19 (3), 832-838, 2014
1602014
Predictive monitoring of mobile patients by combining clinical observations with data from wearable sensors
L Clifton, DA Clifton, MAF Pimentel, PJ Watkinson, L Tarassenko
IEEE journal of biomedical and health informatics 18 (3), 722-730, 2013
1592013
A multivariate timeseries modeling approach to severity of illness assessment and forecasting in ICU with sparse, heterogeneous clinical data
M Ghassemi, MAF Pimentel, T Naumann, T Brennan, DA Clifton, ...
Proceedings of the... AAAI Conference on Artificial Intelligence. AAAI …, 2015
1542015
A fully automated algorithm for the determination of respiratory rate from the photoplethysmogram
PA Leonard, JG Douglas, NR Grubb, DA Clifton, PS Addison, JN Watson
Journal of clinical monitoring and computing 20 (1), 33-36, 2006
1462006
Identifying lineage effects when controlling for population structure improves power in bacterial association studies
SG Earle, CH Wu, J Charlesworth, N Stoesser, NC Gordon, TM Walker, ...
Nature microbiology 1 (5), 1-8, 2016
1432016
An assessment of algorithms to estimate respiratory rate from the electrocardiogram and photoplethysmogram
PH Charlton, T Bonnici, L Tarassenko, DA Clifton, R Beale, PJ Watkinson
Physiological measurement 37 (4), 610, 2016
1372016
Centile-based early warning scores derived from statistical distributions of vital signs
L Tarassenko, DA Clifton, MR Pinsky, MT Hravnak, JR Woods, ...
Resuscitation 82 (8), 1013-1018, 2011
1252011
Measurement of respiratory rate from the photoplethysmogram in chest clinic patients
DA Clifton, JG Douglas, PS Addison, JN Watson
Journal of clinical monitoring and computing 21 (1), 55-61, 2007
1162007
Predicting Atrial Fibrillation in Primary Care Using Machine Learning
NR Hill, D Ayoubkhani, P McEwan, DM Sugrue, U Farooqui, S Lister, ...
Available at SSRN 3236366, 2018
114*2018
Method and apparatus for measuring breathing rate
L Tarassenko, S Fleming, D Clifton
US Patent App. 12/452,900, 2010
1112010
Novelty detection with multivariate extreme value statistics
DA Clifton, S Hugueny, L Tarassenko
Journal of signal processing systems 65 (3), 371-389, 2011
1102011
An algorithm for the detection of individual breaths from the pulse oximeter waveform
P Leonard, NR Grubb, PS Addison, DA Clifton, JN Watson
Journal of clinical monitoring and computing 18 (5-6), 309-312, 2004
1042004
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