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Sensyne Health | Expertise

Scientific Publications

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Clinical AI
DBm-Health
EDGE
GDm-Health
Life Sciences
MagnifEye
SEND
SENSE
SENSIGHT
Support-HF
Syne-COV
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Our clinical AI expertise is underpinned by published articles in tier-one journals across multiple fields of AI and medical research.
Life Sciences
Compensating trajectory bias for unsupervised patient stratification using adversarial recurrent neural networks
Compensating trajectory bias for unsupervised patient stratification using adversarial recurrent neural networks
Arxiv
Avelino Javer, Owen Parsons, Oliver Carr, Janie Baxter, Christian Diedrich, Eren Elçi, Steffen Schaper, Katrin Coboeken, Robert Dürichen
December 14, 2021
Longitudinal patient stratification of electronic health records with flexible adjustment for clinical outcomes
Longitudinal patient stratification of electronic health records with flexible adjustment for clinical outcomes
Arxiv
Oliver Carr, Avelino Javer, Patrick Rockenschaub, Owen Parsons, Robert Dürichen
November 15, 2021
MagnifEye
Machine Learning for Determining Lateral Flow Device Results in Asymptomatic Population: A Diagnostic Accuracy Study
Machine Learning for Determining Lateral Flow Device Results in Asymptomatic Population: A Diagnostic Accuracy Study
Preprint - The Lancet
Consortium, AI LFD and Banathy, Robert and Branigan, Mark and Lewis-Borman, Paul and Patel, Nishali and Lee, Lennard and Caiado, Camila C. S. and Dijkstra, Anna and Chudzik, Piotr and Yousefi, Paria and Javer, Avelino and Van Meurs, Bram and Tarassenko, Lionel and Irving, Benjamin and Whalley, Celina and Lal, Neeraj and Robbins, Helen and Leung, Elaine and Beggs, Andrew D.
June 21, 2021
Syne-COV
SYNE-COV for predicting COVID-19 outcomes
SYNE-COV for predicting COVID-19 outcomes
Medtech innovation briefing
June 15, 2021
Syne-COV
Early risk assessment for COVID-19 patients from emergency department data using machine learning
Early risk assessment for COVID-19 patients from emergency department data using machine learning
Scientific Reports
Frank S. Heldt, Marcela P. Vizcaychipi, Sophie Peacock, Mattia Cinelli, Lachlan McLachlan, Fernando Andreotti, Stojan Jovanović, Robert Dürichen, Nadezda Lipunova, Robert A. Fletcher, Anne Hancock, Alex McCarthy, Richard A. Pointon, Alexander Brown, James Eaton, Roberto Liddi, Lucy Mackillop, Lionel Tarassenko, Rabia T. Khan
February 18, 2021
SENSIGHT
Deep Semi-Supervised Embedded Clustering (DSEC) for Stratification of Heart Failure Patients
Deep Semi-Supervised Embedded Clustering (DSEC) for Stratification of Heart Failure Patients
Arxiv
Oliver Carr, Stojan Jovanovic, Luca Albergante, Fernando Andreotti, Robert Dürichen, Nadia Lipunova, Janie Baxter, Rabia Khan, Benjamin Irving
January 17, 2021
Syne-COV
Associations of comorbidities and medications with COVID-19 outcome
Associations of comorbidities and medications with COVID-19 outcome
Preprint - medRxiv
Basel Abu-Jamous, Arseni Anisimovich, Janie Baxter, Lucy Mackillop, Marcela P. Vizcaychipi, Alex McCarthy, Rabia T. Khan
August 23, 2020
Life Sciences
Prediction of the onset of cardiovascular diseases from electronic health records using multi-task gated recurrent units
Prediction of the onset of cardiovascular diseases from electronic health records using multi-task gated recurrent units
Arxiv
Fernando Andreotti, Frank S. Heldt, Basel Abu-Jamous, Ming Li, Avelino Javer, Oliver Carr, Stojan Jovanovic, Nadezda Lipunova, Benjamin Irving, Rabia T. Khan, Robert Dürichen
July 16, 2020
Syne-COV
Risk factors for clinical progression in patients with COVID-19: a retrospective study of electronic health record data in the United Kingdom
Risk factors for clinical progression in patients with COVID-19: a retrospective study of electronic health record data in the United Kingdom
Preprint - medRxiv
Robert A Fletcher, Thomas Matcham,Marta Tibúrcio, Arseni Anisimovich, Stojan Jovanović, Luca Albergante, Nadezda Lipunova, Anne Hancock, Lucy Mackillop, Lionel Tarassenko, Alex McCarthy, Marcela P Vizcaychipi, Rabia Tahir Khan
May 15, 2020
GDm-Health
Novel Way to Deliver Care to Women with GDM through the Use of Cloud Technology
Novel Way to Deliver Care to Women with GDM through the Use of Cloud Technology
Poster Presentation, Diabetes In Pregnancy, UK, Nov 2019
N Sithamparanathan, D Hunt, P Lavandeira-Fernandez, C Issac, V Hordern, J Wright, K Morton, A Falinska
November 1, 2019
Clinical AI
Gaussian Processes for Personalized Interpretable Volatilty Metrics in the Step-Down Ward
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.
May 3, 2019
Support-HF
Home monitoring with IT-supported specialist management versus home monitoring alone in patients with heart failure: design and baseline results of the SUPPORT-HF 2 randomized trial
Home monitoring with IT-supported specialist management versus home monitoring alone in patients with heart failure: design and baseline results of the SUPPORT-HF 2 randomized trial
American Heart Journal, February 2019
February 1, 2019
Clinical AI
DeepAMR for Predicting Co-occurrent Resistance of Mycobacterium Tuberculosis
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.
January 21, 2019
Clinical AI
Comparing Different Ways of Calculating Sample Size for Two Independent Means: A Worked Example
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.
January 1, 2019
Clinical AI
The Correlation Between Baseline Score and Post-intervention Score, and its Implications on Statistical Analysis
The Correlation Between Baseline Score and Post-intervention Score, and its Implications on Statistical Analysis
Trials
Clifton, L., Birks, J., and Clifton, D.A.
January 1, 2019
Clinical AI
Unsupervised Bayesian Inference to Fuse Biosignal Sensory Estimates for Personalising Care
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.
January 1, 2019
Clinical AI
Estimation of Respiratory Rate from Motion Contaminated Photoplethysmography Signals Incorporating Accelerometry
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.
December 19, 2018
Clinical AI
Estimation of Respiratory Rate from Motion-Contaminated Photoplethysmography Signals Incorporating Accelerometry
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.
November 30, 2018
Clinical AI
Validation of Instantaneous Respiratory Rate using Reflectance PPG from Different Body Positions
Validation of Instantaneous Respiratory Rate using Reflectance PPG from Different Body Positions
Sensors
Jarchi, D., Salvi, D., Tarassenko, L., and Clifton, D.A.
October 31, 2018
Clinical AI
Prediction of Susceptibility to First-Line Tuberculosis Drugs by DNA Sequencing
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.
October 11, 2018
Clinical AI
Smoothing Effect in Vital-Sign Recordings: Fact or Fiction? A Retrospective Cohort Analysis of Manual and Continuous Vital-Sign Measurements to Assess Data Smoothing in Post-Operative Care
Smoothing Effect in Vital-Sign Recordings: Fact or Fiction? A Retrospective Cohort Analysis of Manual and Continuous Vital-Sign Measurements to Assess Data Smoothing in Post-Operative Care
Anesthesia and Analgesia
Tomlinson, H., Pimentel, M.A.F., Gerry, S., Clifton, D.A., Tarassenko, L., and Watkinson, P.J.
October 1, 2018
Clinical AI
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
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.
September 20, 2018
Clinical AI
Bayesian Fusion of Physiological Measurements using a Signal Quality Extension
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.
June 26, 2018
Clinical AI
Accelerometry-Based Estimation of Respiratory Rate for Post-Intensive Care Patient Monitoring
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.
June 15, 2018
Clinical AI
Accelerometry-Based Estimation of Respiratory Rate for Post-Intensive Care Patient Monitoring
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.
June 15, 2018
Clinical AI
Manual Centile-Based Early Warning Scores Derived from Statistical Distributions of Observational Vital-Sign Data
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.
June 3, 2018
Clinical AI
Point Process Models for Novelty Detection on Spatial Point Patterns and their Extremes
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.
April 9, 2018
GDm Health
Comparing the Efficacy of a Mobile Phone-Based Blood Glucose Management System With Standard Clinic Care in Women With Gestational Diabetes: Randomized Controlled Trial
Comparing the Efficacy of a Mobile Phone-Based Blood Glucose Management System With Standard Clinic Care in Women With Gestational Diabetes: Randomized Controlled Trial
JMIR Publications: mHealth and uHealth
March 20, 2018
Clinical AI
Distributed Inference Condition Monitoring System for Rural Infrastructure in the Developing World
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.
March 1, 2018
Clinical AI
Bayesian Optimisation of Personalised Models for Patient Vital-Sign Monitoring
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.
March 1, 2018
Clinical AI
Applied Machine Learning for the Prediction of Growth of Abdominal Aortic Aneurysm in Humans
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.
January 1, 2018
Clinical AI
Application of Machine Learning Techniques to Tuberculosis Drug Resistance Analysis
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.
January 1, 2018
Clinical AI
A Robust Fusion Model for Estimating Respiratory Rate from Photoplethysmography and Electrocardiography
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.
January 1, 2018
Clinical AI
Component Isolation for Multi-component Signal Analysis using a Non-parametric Gaussian Latent Feature Model
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.
January 1, 2018
Clinical AI
Machine Learning for Classifying Tuberculosis Drug-Resistance from DNA Sequencing Data
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.
January 1, 2018
Clinical AI
Bayesian Gaussian Processes for Identifying the Deteriorating Patient
Bayesian Gaussian Processes for Identifying the Deteriorating Patient
Thesis submitted to the Department of Engineering Science, University of Oxford
Colopy, G.W.
January 1, 2018
Clinical AI
A Robust Fusion Model for Estimating Respiratory Rate from Photoplethysmography and Electrocardiography
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.
January 1, 2018
Clinical AI
Profiling the Propagation of Error from PPG to HRV Features in a Wearable Physiological-Monitoring Device
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.
January 1, 2018
Clinical AI
Breathing Rate Estimation from the Electrocardiogram and Photoplethysmogram: A Review
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.
January 1, 2018
GDm Health
Health app: GDm-Health for people with gestational diabetes
Health app: GDm-Health for people with gestational diabetes
NICE Medtech innovation briefing [MIB131]. November 2017
November 1, 2017
SEND
Quantitative Metrics for Evaluating the Phased Roll-out of Clinical Information Systems
Quantitative Metrics for Evaluating the Phased Roll-out of Clinical Information Systems
International Journal of Medical Informatics
September 1, 2017
Clinical AI
Towards a Robust Estimation of Respiratory Rate from Pulse Oximeters
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.
August 8, 2017
EDGE
Self-Management Support Using a Digital Health System Compared With Usual Care for Chronic Obstructive Pulmonary Disease: Randomized Controlled Trial
Self-Management Support Using a Digital Health System Compared With Usual Care for Chronic Obstructive Pulmonary Disease: Randomized Controlled Trial
Farmer et al, Journal of Medical Internet Research (2017)
May 3, 2017
GDm Health
Case study: Better monitoring and fewer hospital visits for women who develop diabetes during pregnancy
Case study: Better monitoring and fewer hospital visits for women who develop diabetes during pregnancy
Oxford Academic Health Science Network. May 2017
May 1, 2017
Clinical AI
Extraction of Respiratory Signals from the Electrocardiogram and Photoplethysmogram: Technical and Physiological Determinants
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.
March 31, 2017
EDGE
Exacerbations in Chronic Obstructive Pulmonary Disease: Identification and Prediction Using a Digital Health System
Exacerbations in Chronic Obstructive Pulmonary Disease: Identification and Prediction Using a Digital Health System
Shah S.A. et al, (2017), Journal of Medical Internet Research, 19(3): e69
March 7, 2017
EDGE
Digital health system for personalised COPD long-term management
Digital health system for personalised COPD long-term management
Velardo et al, BMC Medical Informatics and Decision Making (2017)
February 20, 2017
Clinical AI
Accidental Infrastructure for Groundwater Monitoring in Africa
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.
January 31, 2017
Clinical AI
Future Directions in Health Monitoring
Future Directions in Health Monitoring
Equipment Health Monitoring in Complex Systems
King, S., Mills, A., Kadirkamanathan, V., and Clifton, D.A.
January 1, 2017
Clinical AI
Case Studies of Medical Monitoring Systems
Case Studies of Medical Monitoring Systems
Case Studies of Medical Monitoring Systems
Clifton, D.A.
January 1, 2017
Clinical AI
Implementing an Electronic Observation and Early Warning Score Chart in the Emergency Department: A Feasibility Study
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.
January 1, 2017
Clinical AI
Identifying Lineage Effects When Controlling for Population Structure Improves Power in Bacterial Association Studies
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.
January 1, 2017
Support-HF
Creating connections – the development of a mobile-health monitoring system for heart failure: Qualitative findings from a usability cohort study
Creating connections – the development of a mobile-health monitoring system for heart failure: Qualitative findings from a usability cohort study
Sage Journals, October 2016
October 10, 2016
SEND
SEND: System for Electronic Notification and Documentation
SEND: System for Electronic Notification and Documentation
Oxford Technology Showcase
July 1, 2016
GDm Health
Trial protocol to compare the efficacy of a smartphone-based blood glucose management system with standard clinic care in the gestational diabetic population
Trial protocol to compare the efficacy of a smartphone-based blood glucose management system with standard clinic care in the gestational diabetic population
BMJ Open. March 2016
March 17, 2016
SEND
Evaluation of the effects of implementing an electronic Early Warning Score system: protocol for a stepped wedge study
Evaluation of the effects of implementing an electronic Early Warning Score system: protocol for a stepped wedge study
BMC Medical Informatics and Decision Making
February 9, 2016
SEND
A ward-based time study of paper and electronic documentation for recording vital sign observations
A ward-based time study of paper and electronic documentation for recording vital sign observations
Journal of the American Medical Informatics Association
David Wong, Timothy Bonnici, Julia Knight, Stephen Gerry, James Turton, Peter Watkinson
January 1, 2016
Clinical AI
An Assessment of Algorithms for Estimation of Respiratory Rate from the Electrocardiogram and Photoplethysmogram
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.
January 1, 2016
Clinical AI
Analysis of a Data Fusion System for Continuous Vital-Sign Monitoring in an Emergency Department
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.
January 1, 2016
Clinical AI
One-Class Classification of Point Patterns of Extremes
One-Class Classification of Point Patterns of Extremes
Journal of Machine Learning Research
Luca, S., Clifton, D.A., and Vanrumste, B.
January 1, 2016
Clinical AI
Machine Learning and Decision Support in Critical Care
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.
January 1, 2016
Clinical AI
Predicting Antibiotic Resistance from Genomic Data
Predicting Antibiotic Resistance from Genomic Data
IET Press
Yang, Y., Niehaus, K.E., and Clifton, D.A.
January 1, 2016
Clinical AI
A Bayesian Model for Fusing Biomedical Labels
A Bayesian Model for Fusing Biomedical Labels
IET Press
Zhu, T.T., Clifford, G.D., and Clifton, D.A.
January 1, 2016
Clinical AI
Machine Learning for Healthcare Technologies: An Introduction
Machine Learning for Healthcare Technologies: An Introduction
IET
Clifton, D.A.
January 1, 2016
Clinical AI
Machine Learning for Chronic Disease
Machine Learning for Chronic Disease
IET Press
Niehaus, K.E. and Clifton, D.A.
January 1, 2016
SEND
Implementing an Electronic Early Warning Scoring System
Implementing an Electronic Early Warning Scoring System
Developing NHS Digital Roadmaps, London
December 15, 2015
GDm Health
Digital blood glucose monitoring could provide new objective assessments of blood glucose control in women with gestational diabetes
Digital blood glucose monitoring could provide new objective assessments of blood glucose control in women with gestational diabetes
Diabetic Medicine. November 2015
November 15, 2015
Support-HF
A user-centred home monitoring and self-management system for patients with heart failure: a multicentre cohort study
A user-centred home monitoring and self-management system for patients with heart failure: a multicentre cohort study
NCBI, November 2015
November 1, 2015
GDm Health
The Utility of Digital Blood Glucose Monitoring Metrics to Predict High Birth Weight in Women with Gestational Diabetes Mellitus
The Utility of Digital Blood Glucose Monitoring Metrics to Predict High Birth Weight in Women with Gestational Diabetes Mellitus
SOMANZ Annual Scientific Meeting, Melbourne, AUS, October 2015
October 3, 2015
Support-HF
A personalised mobile-based home monitoring system for heart failure: The SUPPORT-HF Study
A personalised mobile-based home monitoring system for heart failure: The SUPPORT-HF Study
ScienceDirect, October 2015
October 1, 2015
SEND
SEND: a system for electronic notification and documentation of vital sign observations
SEND: a system for electronic notification and documentation of vital sign observations
BMC Medical Informatics and Decision Making
August 13, 2015
GDm Health
Diabetes in pregnancy: management from preconception to the postnatal period
Diabetes in pregnancy: management from preconception to the postnatal period
NICE Guideline [NG3]
August 8, 2015
SEND
User-centred design for optimum development and deployment of an e-Health intervention
User-centred design for optimum development and deployment of an e-Health intervention
Digital Health and Care Congress, King's Fund, London
July 1, 2015
EDGE
Using a mobile health application to support self-management in chronic obstructive pulmonary disease: A six-month cohort study
Using a mobile health application to support self-management in chronic obstructive pulmonary disease: A six-month cohort study
Hardinge M. et al, (2015), BMC Medical Informatics and Decision Making
June 18, 2015
GDm Health
The Utility of Digital Blood Glucose Monitoring Metrics to Predict High Birth Weight in Women with Gestational Diabetes
The Utility of Digital Blood Glucose Monitoring Metrics to Predict High Birth Weight in Women with Gestational Diabetes
ADA 75th Scientific Sessions, Boston, MA, June 2015
June 5, 2015
GDm Health
GDm-health: Development of a real-time smartphone solution for the management of women with gestational diabetes mellitus (GDM)
GDm-health: Development of a real-time smartphone solution for the management of women with gestational diabetes mellitus (GDM)
World Congress, Brisbane, AUS, April 2015 (oral presentation)
April 4, 2015
GDm Health
A comparison of blood glucose metrics to assess the feasibility of a digital health system for management of women with gestational diabetes: the GDm-Health study
A comparison of blood glucose metrics to assess the feasibility of a digital health system for management of women with gestational diabetes: the GDm-Health study
Diabetes UK, March 2015, London, UK (oral presentation) - 2015
March 5, 2015
GDm Health
Acceptability and User Satisfaction of a Smartphone-Based, Interactive Blood Glucose Management System in Women with Gestational Diabetes Mellitus
Acceptability and User Satisfaction of a Smartphone-Based, Interactive Blood Glucose Management System in Women with Gestational Diabetes Mellitus
J Diabetes Sci Technol 2015 vol. 9 no. 1
January 9, 2015
SEND
Integrated Digital Care Record
Integrated Digital Care Record
NHS England Case study
January 1, 2015
Clinical AI
"Errors" and Omissions in Paper-Based Early Warning Scores: The Association with Changes in Vital Signs - A Database Analysis.
"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.
January 1, 2015
Clinical AI
Probabilistic Estimation of Respiratory Rate from Wearable Sensors
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.
January 1, 2015
Clinical AI
Fusing Continuous-Valued Medical Labels Using a Bayesian Model
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.
January 1, 2015
Clinical AI
Health Informatics via Machine Learning for the Clinical Management of Patients
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.
January 1, 2015
Clinical AI
A Non-invasive Method for Estimating Lung Function
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.
January 1, 2015
Clinical AI
Intelligent Electronic Health Systems
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.
January 1, 2015
Clinical AI
Signal Quality Indices for the Electrocardiogram and Photoplethysmogram: Derivation and Applications to Wireless Monitoring
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.
January 1, 2015
Clinical AI
Probabilistic Estimation of Respiratory Rate from Wearable Sensors
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.
January 1, 2015
Clinical AI
Whole-Genome Sequencing for Prediction of Mycobacterium Tuberculosis Drug-Susceptibility and Resistance: A Retrospective Cohort Study
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.
January 1, 2015
Clinical AI
Multi-task Gaussian Processes for Multivariate Physiological Time-Series Analysis
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.
January 1, 2015
Clinical AI
Novelty Detection in Jet Engine Vibration Spectra
Novelty Detection in Jet Engine Vibration Spectra
Int. Journal of Condition Monitoring
Clifton, D.A. and Tarassenko, L.
January 1, 2015
EDGE
Patient's experience of identifying and managing exacerbations in COPD: A qualitative study
Patient's experience of identifying and managing exacerbations in COPD: A qualitative study
Williams V. et al, (2014), npj Primary Care Respiratory Medicine, 24
September 18, 2014
GDm Health
Development of a Real-Time Smartphone Solution for the Management of Women With or at High Risk of Gestational Diabetes
Development of a Real-Time Smartphone Solution for the Management of Women With or at High Risk of Gestational Diabetes
J Diabetes Sci Technol 2014 vol. 8 no.
March 12, 2014
EDGE
Using a mobile health application to support self-management in COPD: A qualitative study
Using a mobile health application to support self-management in COPD: A qualitative study
Williams V. et al, (2014), British Journal of General Practice, 64
March 11, 2014
GDm Health
GDm-Health: Feasibility of a smartphone assisted system for treatment advice and medication adjustment
GDm-Health: Feasibility of a smartphone assisted system for treatment advice and medication adjustment
Diabetes UK 2014 , Liverpool, UK
March 5, 2014
GDm Health
GDm-Health: Acceptability of a novel smartphone assisted blood glucose monitoring system for women with gestational diabetes
GDm-Health: Acceptability of a novel smartphone assisted blood glucose monitoring system for women with gestational diabetes
Diabetes UK 2014, Liverpool, UK (poster) - 2014
March 4, 2014
EDGE
Self-management support using an Internet-linked tablet computer (the EDGE platform)-based intervention in chronic obstructive pulmonary disease: Protocol for the EDGE-COPD randomised controlled trial
Self-management support using an Internet-linked tablet computer (the EDGE platform)-based intervention in chronic obstructive pulmonary disease: Protocol for the EDGE-COPD randomised controlled trial
Farmer A. et al, (2014), BMJ Open, 4
February 12, 2014
Clinical AI
Non-contact Video-Based Vital Sign Monitoring Using Ambient Light and Auto-regressive Models
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.
January 1, 2014
Clinical AI
Predictive Monitoring of Mobile Patients by Combining Clinical Observations with Data from Wearable Sensors
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.
January 1, 2014
Clinical AI
A Review of Novelty Detection
A Review of Novelty Detection
Signal Processing
Pimentel, M.A.F., Clifton, D.A., Clifton, L., and Tarassenko, L.
January 1, 2014
Clinical AI
An Extreme Function Theory for Novelty Detection
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.
January 1, 2014

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