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David A. Clifton
David A. Clifton
Chair of Clinical Machine Learning, University of Oxford
Bestätigte E-Mail-Adresse bei eng.ox.ac.uk - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Novelty detection
MAF Pimentel, DA Clifton, L Clifton, L Tarassenko
Signal Processing 99, 215-249, 2014
18532014
Encyclopedia of structural health monitoring
C Boller, FK Chang, Y Fujino, K Worden, DA Clifton, L Tarassenko
Wiley, 2009
7112009
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
6132015
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
5142014
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
387*2014
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
3842016
Breathing rate estimation from the electrocardiogram and photoplethysmogram
PH Charlton, DA Birrenkott, T Bonnici, MAF Pimentel, AEW Johnson, ...
IEEE reviews in biomedical engineering 11, 2-20, 2017
3342017
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
3262016
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
3172018
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
3122016
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
2752016
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
2712015
Photoplethysmographic derivation of respiratory rate
DJ Meredith, D Clifton, P Charlton, J Brooks, CW Pugh, L Tarassenko
Journal of medical engineering & technology 36 (1), 1-7, 2012
2692012
Multimodal learning with transformers
P Xu, X Zhu, DA Clifton
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023
2532023
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
248*2018
Global seroprevalence of SARS-CoV-2 antibodies: a systematic review and meta-analysis
N Bobrovitz, RK Arora, C Cao, E Boucher, M Liu, C Donnici, ...
PloS one 16 (6), e0252617, 2021
2392021
Wearable sensing and telehealth technology with potential applications in the coronavirus pandemic
X Ding, D Clifton, N Ji, NH Lovell, P Bonato, W Chen, X Yu, Z Xue, ...
IEEE reviews in biomedical engineering 14, 48-70, 2020
2282020
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
2262013
Semiconductor wireless technology for chronic disease management
L Tarassenko, DA Clifton
Electronics Letters 47 (26), 30-32, 2011
214*2011
Reporting guideline for the early stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI
B Vasey, M Nagendran, B Campbell, DA Clifton, GS Collins, S Denaxas, ...
bmj 377, 2022
2132022
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