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David A Clifton

Showing results (11-20 of 171) with videos related to

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Clinical Medicine (London, England)|June 14, 2013
The digital patientTimothy Bonnici, Lionel Tarassenko, David A Clifton, et al.
IEEE Journal of Biomedical and Health Informatics|March 6, 2018
Bayesian Optimization of Personalized Models for Patient Vital-Sign MonitoringGlen Wright Colopy, Stephen J Roberts, David A Clifton
IEEE Journal of Biomedical and Health Informatics|January 25, 2019
Gaussian Processes for Personalized Interpretable Volatility Metrics in the Step-Down WardGlen Wright Colopy, Stephen J Roberts, David A Clifton
The Lancet. Digital Health|February 13, 2026
When to and when not to use machine learning in risk prediction modelsLei Clifton, John Powell, David A Clifton, et al.
Sensors (Basel, Switzerland)|December 16, 2020
Error Estimation of Ultra-Short Heart Rate Variability Parameters: Effect of Missing Data Caused by Motion ArtifactsAlessio Rossi, Dino Pedreschi, David A Clifton, et al.
NPJ Digital Medicine|June 7, 2022
Machine learning generalizability across healthcare settings: insights from multi-site COVID-19 screeningJenny Yang, Andrew A S Soltan, David A Clifton
Physiological Measurement|August 23, 2019
A computationally efficient algorithm to obtain an accurate and interpretable model of the effect of circadian rhythm on resting heart rateDavide Morelli, Leonardo Bartoloni, Alessio Rossi, et al.
Sensors (Basel, Switzerland)|November 3, 2018
Validation of Instantaneous Respiratory Rate Using Reflectance PPG from Different Body PositionsDelaram Jarchi, Dario Salvi, Lionel Tarassenko, et al.
Bioinformatics (Oxford, England)|February 24, 2023
On the effectiveness of compact biomedical transformersOmid Rohanian, Mohammadmahdi Nouriborji, Samaneh Kouchaki, et al.
IEEE Transactions on Bio-Medical Engineering|December 1, 2023
DuKA: A Dual-Keyless-Attention Model for Multi-Modality EHR Data Fusion and Organ Failure PredictionZhangdaihong Liu, Xuan Wu, Yang Yang, et al.
Pageof 18

Showing results (11-20 of 171) with videos related to

Sort By:
Pageof 18
Clinical Medicine (London, England)|June 14, 2013
The digital patientTimothy Bonnici, Lionel Tarassenko, David A Clifton, et al.
IEEE Journal of Biomedical and Health Informatics|March 6, 2018
Bayesian Optimization of Personalized Models for Patient Vital-Sign MonitoringGlen Wright Colopy, Stephen J Roberts, David A Clifton
IEEE Journal of Biomedical and Health Informatics|January 25, 2019
Gaussian Processes for Personalized Interpretable Volatility Metrics in the Step-Down WardGlen Wright Colopy, Stephen J Roberts, David A Clifton
The Lancet. Digital Health|February 13, 2026
When to and when not to use machine learning in risk prediction modelsLei Clifton, John Powell, David A Clifton, et al.
Sensors (Basel, Switzerland)|December 16, 2020
Error Estimation of Ultra-Short Heart Rate Variability Parameters: Effect of Missing Data Caused by Motion ArtifactsAlessio Rossi, Dino Pedreschi, David A Clifton, et al.
NPJ Digital Medicine|June 7, 2022
Machine learning generalizability across healthcare settings: insights from multi-site COVID-19 screeningJenny Yang, Andrew A S Soltan, David A Clifton
Physiological Measurement|August 23, 2019
A computationally efficient algorithm to obtain an accurate and interpretable model of the effect of circadian rhythm on resting heart rateDavide Morelli, Leonardo Bartoloni, Alessio Rossi, et al.
Sensors (Basel, Switzerland)|November 3, 2018
Validation of Instantaneous Respiratory Rate Using Reflectance PPG from Different Body PositionsDelaram Jarchi, Dario Salvi, Lionel Tarassenko, et al.
Bioinformatics (Oxford, England)|February 24, 2023
On the effectiveness of compact biomedical transformersOmid Rohanian, Mohammadmahdi Nouriborji, Samaneh Kouchaki, et al.
IEEE Transactions on Bio-Medical Engineering|December 1, 2023
DuKA: A Dual-Keyless-Attention Model for Multi-Modality EHR Data Fusion and Organ Failure PredictionZhangdaihong Liu, Xuan Wu, Yang Yang, et al.
Pageof 18