Clinical AI Publications

2019
Gaussian Processes for Personalized Interpretable Volatilty Metrics in the Step-Down Ward
IEEE Journal of Biomedical and Health Informatics
Colopy, G.W., Roberts, S.J., and Clifton, D.A.
DeepAMR for Predicting Co-occurrent Resistance of Mycobacterium Tuberculosis
Bioinformatics
Yang, Y., Walker, T.M., Walker, A.S., Wilson, D.J., Peto, T.E.A., Crook, D.W., Shamout, F., CRyPTIC Consortium, Zhu, T.T., and Clifton, D.A.
Comparing Different Ways of Calculating Sample Size for Two Independent Means: A Worked Example
Contemporary Clinical Trials Communications
Clifton, L., Birks, J., and Clifton, D.A.
Unsupervised Bayesian Inference to Fuse Biosignal Sensory Estimates for Personalising Care
IEEE Journal of Biomedical and Health Informatics
Zhu, T.T., Pimentel, M.A.F.,Clifford, G.D., and Clifton, D.A.
2018
Estimation of Respiratory Rate from Motion Contaminated Photoplethysmography Signals Incorporating Accelerometry
Healthcare Technology Letters
Jarchi, D., Charlton, P., Pimentel, M., Casson, A., Tarassenko, L., and Clifton, D.A.
Estimation of Respiratory Rate from Motion-Contaminated Photoplethysmography Signals Incorporating Accelerometry
IET Healthcare Technology Letters
Jarchi, D., Charlton, P., Pimentel, M.A.F., Rodgers, S.J., Casson, A.J., Tarassenko, L., and Clifton, D.A.
Validation of Instantaneous Respiratory Rate using Reflectance PPG from Different Body Positions
Sensors
Jarchi, D., Salvi, D., Tarassenko, L., and Clifton, D.A.
Prediction of Susceptibility to First-Line Tuberculosis Drugs by DNA Sequencing
New England Journal of Medicine
Allix-Beguec, C., ..., Clifton, D.A., Yang, Y., ..., Zhu, B.
Predicting In-Hospital Mortality and Unanticipated Admissions to the Intensive Care Unit using Routinely Collected Blood Tests and Vital Signs: Development and Validation of a Multivariable Model
Resuscitation
Redfern, O.C., Pimentel, M.A.F., Prytherch, D., Meredith, P., Clifton, D.A., Tarassenko, L., Smith, G.B., and Watkinson, P.J.
Bayesian Fusion of Physiological Measurements using a Signal Quality Extension
Physiological Measurement
Zhu, T.T., Yang, Y., Johnson, A.E.W., Clifford, G.D., and Clifton, D.A.
Accelerometry-Based Estimation of Respiratory Rate for Post-Intensive Care Patient Monitoring
IEEE Sensors Journal
Jarchi, D., Rodgers, S.J., Tarassenko, L., and Clifton, D.A.
Accelerometry-Based Estimation of Respiratory Rate for Post-Intensive Care Patient Monitoring
IEEE Sensors Journal
Jarchi, D., Rodgers, S.J., Tarassenko, L., and Clifton, D.A.
Manual Centile-Based Early Warning Scores Derived from Statistical Distributions of Observational Vital-Sign Data
Resuscitation
Watkinson, P.J., Pimentel, M.A.F., Clifton, D.A., and Tarassenko, L.
Point Process Models for Novelty Detection on Spatial Point Patterns and their Extremes
Computational Statistics and Data Analysis
Luca, S., Pimentel, M.A.F., Watkinson, P.J., and Clifton, D.A.
Distributed Inference Condition Monitoring System for Rural Infrastructure in the Developing World
IEEE Sensors Journal
Greeff, H., Manandhar, A., Thomson, P., Hope, R., and Clifton, D.A.
Bayesian Optimisation of Personalised Models for Patient Vital-Sign Monitoring
IEEE Journal of Biomedical and Health Informatics
Colopy, G.W., Roberts, S.J., and Clifton, D.A.
Applied Machine Learning for the Prediction of Growth of Abdominal Aortic Aneurysm in Humans
European Journal of Vascular and Endovascular Surgery Short Reports
Lee, R., Jarchi, D., Perera, R., Jones, A., Cassimjee, I., Handa, A., and Clifton, D.A.
Application of Machine Learning Techniques to Tuberculosis Drug Resistance Analysis
Bioinformatics
Kouchaki, S., Yang, Y., Walker, T.M., Walker, S., Wilson, D.J., Peto, T.E.A., Crook, D.W., and Clifton, D.A.
A Robust Fusion Model for Estimating Respiratory Rate from Photoplethysmography and Electrocardiography
IEEE Transactions on Biomedical Engineering
Birrenkott, D.A., Pimentel, M.A.F., Watkinson, P.J., and Clifton, D.A.
Component Isolation for Multi-component Signal Analysis using a Non-parametric Gaussian Latent Feature Model
Mechanical Systems and Signal Processing
Yang, Y., Peng, Z., Dong, X., Zhang, W., and Clifton, D.A.
Machine Learning for Classifying Tuberculosis Drug-Resistance from DNA Sequencing Data
Bioinformatics
Yang, Y., Niehaus, K.E., Walker, T.M., Iqbal, Z., Walker, A.S., Wilson, D.J., Peto, T.E.A., Crook, D.W., and Clifton, D.A.
Bayesian Gaussian Processes for Identifying the Deteriorating Patient
Thesis submitted to the Department of Engineering Science, University of Oxford
Colopy, G.W.
A Robust Fusion Model for Estimating Respiratory Rate from Photoplethysmography and Electrocardiography
IEEE Transactions on Biomedical Engineering
Birrenkott, D.A., Pimentel, M.A.F., Watkinson, P.J., and Clifton, D.A.
Profiling the Propagation of Error from PPG to HRV Features in a Wearable Physiological-Monitoring Device
IET Healthcare Technology Letters
Morelli, D., Bartolini, L., Colombo, M., Plans, D., and Clifton, D.A.
Breathing Rate Estimation from the Electrocardiogram and Photoplethysmogram: A Review
IEEE Reviews in Biomedical Engineering
Charlton, P.H., Birrenkott, D.A., Bonnici, T., Pimentel, M.A.F., Johnson, A.E.W., Alastruey, J., Tarassenko, L., Watkinson, P.J., Beale, R., and Clifton D.A.
2017
Towards a Robust Estimation of Respiratory Rate from Pulse Oximeters
IEEE Transactions on Biomedical Engineering
Pimentel, M.A.F., Johnson, A.E.W., Charlton, P.H., Birrenkott, D.A., Watkinson, P.J., Tarassenko, L., and Clifton, D.A.
Extraction of Respiratory Signals from the Electrocardiogram and Photoplethysmogram: Technical and Physiological Determinants
Physiological Measurement
Charlton, P.H., Bonnici, T., Tarassenko, L., Alastruey, J., Clifton D.A., Beale, R., and Watkinson, P.J.
Accidental Infrastructure for Groundwater Monitoring in Africa
Environmental Modelling and Software
Colchester, F.E., Marais, H.G., Thomson, P., Hope, R., and Clifton, D.A.
Implementing an Electronic Observation and Early Warning Score Chart in the Emergency Department: A Feasibility Study
European Journal of Emergency Medicine
Pullinger, R., Wilson, S., Way, R., Santos, M., Wong, D., Clifton, D.A., Birks, J., and Tarassenko, L.
Case Studies of Medical Monitoring Systems
Case Studies of Medical Monitoring Systems
Clifton, D.A.
Future Directions in Health Monitoring
Equipment Health Monitoring in Complex Systems
King, S., Mills, A., Kadirkamanathan, V., and Clifton, D.A.
2016
Identifying Lineage Effects When Controlling for Population Structure Improves Power in Bacterial Association Studies
Nature Microbiology
Earle, S.G., Wu, C-H., Charlesworth, J., Stoesser, N., Gordon, N.C., Walker, T.M., Spencer, C.C.A., Iqbal, Z., Clifton, D.A., Smith, E.G., Ismail, N., Llewelyn, M.J., Peto, T.E.A., Crook, D.W., McVean, G., Walker, A.S., and Wilson, D.J.
One-Class Classification of Point Patterns of Extremes
Journal of Machine Learning Research
Luca, S., Clifton, D.A., and Vanrumste, B.
Machine Learning and Decision Support in Critical Care
Proceedings of the IEEE
Johnson, A.E.W., Ghassemi, M.M., Nemati, S., Niehaus, K.E., Clifton, D.A., and Clifford, G.D.
Analysis of a Data Fusion System for Continuous Vital-Sign Monitoring in an Emergency Department
European Journal of Emergency Medicine
Wilson, S., Wong, D., Pullinger, R., Way, R., Clifton, D.A., and Tarassenko, L.
An Assessment of Algorithms for Estimation of Respiratory Rate from the Electrocardiogram and Photoplethysmogram
Physiological Measurements
Charlton, P.H., Bonnici, T., Tarassenko, L., Clifton D.A., Beale, R., and Watkinson, P.J.
Machine Learning for Chronic Disease
IET Press
Niehaus, K.E. and Clifton, D.A.
Predicting Antibiotic Resistance from Genomic Data
IET Press
Yang, Y., Niehaus, K.E., and Clifton, D.A.
A Bayesian Model for Fusing Biomedical Labels
IET Press
Zhu, T.T., Clifford, G.D., and Clifton, D.A.
Whole-Genome Sequencing for Prediction of Mycobacterium Tuberculosis Drug-Susceptibility and Resistance: A Retrospective Cohort Study
Lancet Infectious Diseases
Walker, T.M., Kohl, T.A., Omar, S.V., Hedge, J., Del Oio Elias, C., Bradley, P., Iqbal, Z., Feuerriegel, S., Niehaus, K.E., Wilson, D.J., Clifton, D.A., Kapatai G., Ip, C., Bowden, R., Drobniewski, F., Allix-Beguec, C., Gaudin, C., Parkhill, J., Diel, R., Supply, P., Crook, D., Smith, E.G., Walker, A.S., Ismail, N., Nieman, S., and Peto, T.E.A.
2015
Multi-task Gaussian Processes for Multivariate Physiological Time-Series Analysis
IEEE Transactions on Biomedical Engineering
Duerichen, R., Pimentel, M.A.F., Clifton, L., Schweikard, A., and Clifton, D.A.
"Errors" and Omissions in Paper-Based Early Warning Scores: The Association with Changes in Vital Signs - A Database Analysis.
British Medical Journal
Clifton, D.A., Clifton, L., Sandu, D.M., Smith, G.B., Tarassenko, L., Vollam, S., and Watkinson, P.J.
Signal Quality Indices for the Electrocardiogram and Photoplethysmogram: Derivation and Applications to Wireless Monitoring
IEEE Journal of Biomedical and Health Informatics
Orphanidou, C., Bonnici, T., Charlton, P., Clifton, D.A., Vallance, D., and Tarassenko, L.
Probabilistic Estimation of Respiratory Rate from Wearable Sensors
"Wearable Electronic Sensors", ed. Mukhopadhyay, S., Smart Sensors, Measurement and Instrumentation
Pimentel, M.A.F., Charlton, P.H., and Clifton, D.A.
Health Informatics via Machine Learning for the Clinical Management of Patients
Yearbook of Medical Informatics
Clifton, D.A., Niehaus, K.E., Charlton, P., and Colopy, G.W.
Intelligent Electronic Health Systems
CRC Press
Clifton, D.A., Pimentel, M.A.F., Niehaus, K., Clifton, L., Peto, T.E.A., Crook, D.W., and Watkinson, P.J.
Probabilistic Estimation of Respiratory Rate from Wearable Sensors
in "Wearable Electronic Sensors", ed. Mukhopadhyay, S., Smart Sensors, Measurement and Instrumentation
Pimentel, M.A.F., Charlton, P.H., and Clifton, D.A.
Fusing Continuous-Valued Medical Labels Using a Bayesian Model
Annals of Biomedical Engineering
Zhu, T.T., Dunkley, N., Behar, J., Clifton, D.A., and Clifford, G.D.
Novelty Detection in Jet Engine Vibration Spectra
Int. Journal of Condition Monitoring
Clifton, D.A. and Tarassenko, L.
A Non-invasive Method for Estimating Lung Function
Int. Journal of Condition Monitoring
Clifton, L., Clifton, D.A., Farmery, A.D., and Hahn, C.E.W.
2014
Predictive Monitoring of Mobile Patients by Combining Clinical Observations with Data from Wearable Sensors
IEEE Journal of Biomedical and Health Informatics
Clifton, L., Clifton, D.A., Pimentel, M.A.F., Watkinson, P.J., and Tarassenko, L.
Extending the Generalised Pareto Distribution for Novelty Detection in High-Dimensional Spaces
Journal of Signal Processing Systems
Clifton, D.A., Hugueny, S., Clifton, L., and Tarassenko, L.
A Review of Novelty Detection
Signal Processing
Pimentel, M.A.F., Clifton, D.A., Clifton, L., and Tarassenko, L.
Non-contact Video-Based Vital Sign Monitoring Using Ambient Light and Auto-regressive Models
Physiological Measurement
Tarassenko, L., Villarroel, M., Guazzi, A., Jorge, J., Clifton, D.A., and Pugh, C.
Probabilistic Novelty Detection with Support Vector Machines
IEEE Transactions on Reliability
Clifton, L., Clifton, D.A., Zhang, Y., Watkinson, P.J., Tarassenko, L., and Yin, H
An Extreme Function Theory for Novelty Detection
IEEE Journal of Selected Topics on Signal Processing
Clifton, D.A., Clifton, L., Hugueny, S., Wong, D., and Tarassenko, L.
2013
Gaussian Processes for Personalised e-Health Monitoring with Wearable Sensors
IEEE Transactions on Biomedical Engineering
Clifton, L., Clifton, D.A., Pimentel, M.A.F., Watkinson, P.J., and Tarassenko, L.
A Non-invasive Method for Estimating Cardiopulmonary Variables Using Breath-by-Breath Injection of Two Tracer Gases
IEEE Journal of Translational Engineering in Health and Medicine
Clifton, L., Clifton, D., Hahn, C.E.W., and Farmery, A.D.
Assessment of Lung Function Using a Non-invasive Oscillating Gas-Forcing Technique
Respiratory Physiology & Neurobiology
Clifton, L., Clifton, D., Hahn, C.E.W., and Farmery, A.D.
A Large-Scale Clinical Validation of an Integrated Monitoring System in the Emergency Department
http://www.robots.ox.ac.uk/~davidc/pubs/jbhi_ed.pdf
Clifton, D.A., Wong, D., Clifton, L., Pullinger, R., and Tarassenko, L.
Modelling Physiological Deterioration in Post-operative Patient Vital-Sign Data
Modelling Physiological Deterioration in Post-operative Patient Vital-Sign Data
Pimentel, M.A.F., Clifton, D.A., Clifton, L., Watkinson, P.J., and Tarassenko, L.
The Digital Patient
Clinical Medicine
Bonnici, T., Clifton, D.A., Watkinson, P.J., and Tarassenko, L.
Track and Trigger in an Emergency Department: an Observational Evaluation Study.
Emergency Medicine Journal
Wilson, S., Wong, D., Clifton, D.A., Fleming, S., Way, R., Pullinger, R., and Tarassenko, L.
2012
A Two-Class Approach to the Detection of Physiological Deterioration in Patient Vital Signs, with Clinical Label Refinement
IEEE Transactions on Information Technology in Biomedicine
Khalid, S., Clifton, D.A., Clifton, L.A., and Tarassenko, L.
Annual Review: Wireless Technology in Disease State Management and Medicine
Annual Review of Medicine
Clifford, G.D. and Clifton, D.A.
Photoplethysmographic Derivation of Respiratory Rate: A Review of Relevant Respiratory and Circulatory Physiology
Journal of Medical Engineering and Technology
Meredith, D., Clifton, D.A., Charlton, P., Brooks, J., Pugh, C.W., and Tarassenko, L.
2011
Semiconductor Wireless Technology for Chronic Disease Management
Electronics Letters
Tarassenko, L. and Clifton, D.A.
Centile-Based Early Warning Scores Derived from Statistical Distributions of Vital Signs
Resuscitation
Tarassenko, L., Clifton, D.A., Pinsky, M.R., Hravnak, M.T., Woods, J.R., and Watkinson, P.
Probabilistic Patient Monitoring with Multivariate, Multimodal Extreme Value Theory
Communications in Computer Science
Hugueny, S., Clifton, D.A., and Tarassenko, L.
Novelty Detection with Multivariate Extreme Value Statistics
Journal of Signal Processing Systems
Clifton, D.A., Hugueny, S., and Tarassenko, L.
2009
Probabilistic Approaches to Condition Monitoring of Aerospace Engines
IMechE Part G: Journal of Aerospace Engineering
King, S., Bannister, P.R., Clifton, D.A., and Tarassenko, L.
Novelty Detection
Encyclopaedia of Structural Health Monitoring
Tarassenko, L., Clifton, D.A., Bannister, P.R., King, S., and King, D.
2008
Automated Novelty Detection in Industrial Systems
Studies in Computational Intelligence
Clifton, D.A., Clifton, L., Bannister, P.R., and Tarassenko, L.
2010
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