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
12512014
Encyclopedia of structural health monitoring
C Boller, FK Chang, Y Fujino, K Worden, DA Clifton, L Tarassenko
Wiley, 2009
5692009
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
4612015
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
3782014
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
2502016
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
2292014
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
1992012
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
1972016
A multivariate timeseries modeling approach to severity of illness assessment and forecasting in ICU with sparse, heterogeneous clinical data
M Ghassemi, M Pimentel, T Naumann, T Brennan, D Clifton, P Szolovits, ...
Proceedings of the AAAI conference on artificial intelligence 29 (1), 2015
1972015
Wireless technology in disease management and medicine
GD Clifford, D Clifton
Annual review of medicine 63, 479-492, 2012
1862012
Semiconductor wireless technology for chronic disease management
L Tarassenko, DA Clifton
Electronics Letters 47 (26), 30-32, 2011
183*2011
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
1802013
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
1792016
Prediction of susceptibility to first-line tuberculosis drugs by DNA sequencing
CRyPTIC Consortium and the 100,000 Genomes Project
New England Journal of Medicine 379 (15), 1403-1415, 2018
1662018
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
1522006
Breathing rate estimation from the electrocardiogram and photoplethysmogram: A review
PH Charlton, DA Birrenkott, T Bonnici, MAF Pimentel, AEW Johnson, ...
IEEE reviews in biomedical engineering 11, 2-20, 2017
1502017
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
1392011
Multitask Gaussian processes for multivariate physiological time-series analysis
R Dürichen, MAF Pimentel, L Clifton, A Schweikard, DA Clifton
IEEE Transactions on Biomedical Engineering 62 (1), 314-322, 2014
1322014
Toward a robust estimation of respiratory rate from pulse oximeters
MAF Pimentel, AEW Johnson, PH Charlton, D Birrenkott, PJ Watkinson, ...
IEEE Transactions on Biomedical Engineering 64 (8), 1914-1923, 2016
1312016
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
127*2018
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