Canlyniadau Chwilio - Clifton, David A

The correlation between baseline score and post-intervention score, and its implications for statistical analysis gan Clifton, Lei, Clifton, David A.

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How to maintain the maximal level of blinding in randomisation for a placebo-controlled drug trial gan Clifton, Lei, Clifton, David A.

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Comparing different ways of calculating sample size for two independent means: A worked example gan Clifton, Lei, Birks, Jacqueline, Clifton, David A.

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Comparison of parametric and non‐parametric Bayesian inference for fusing sensory estimates in physiological time‐series analysis gan Zhu, Tingting, Javed, Hamza, Clifton, David A.

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Machine learning generalizability across healthcare settings: insights from multi-site COVID-19 screening gan Yang, Jenny, Soltan, Andrew A. S., Clifton, David A.

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Extending the Generalised Pareto Distribution for Novelty Detection in High-Dimensional Spaces gan Clifton, David A., Clifton, Lei, Hugueny, Samuel, Tarassenko, Lionel

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The digital patient gan Bonnici, Timothy, Tarassenko, Lionel, Clifton, David A, Watkinson, Peter

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The digital patient gan Bonnici, Timothy, Tarassenko, Lionel, Clifton, David A, Watkinson, Peter

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Validation of Instantaneous Respiratory Rate Using Reflectance PPG from Different Body Positions gan Jarchi, Delaram, Salvi, Dario, Tarassenko, Lionel, Clifton, David A.

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Analysis of the Impact of Interpolation Methods of Missing RR-intervals Caused by Motion Artifacts on HRV Features Estimations gan Morelli, Davide, Rossi, Alessio, Cairo, Massimo, Clifton, David A.

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Error Estimation of Ultra-Short Heart Rate Variability Parameters: Effect of Missing Data Caused by Motion Artifacts gan Rossi, Alessio, Pedreschi, Dino, Clifton, David A., Morelli, Davide

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Profiling the propagation of error from PPG to HRV features in a wearable physiological-monitoring device gan Morelli, Davide, Bartoloni, Leonardo, Colombo, Michele, Plans, David, Clifton, David A.

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SDNN24 Estimation from Semi-Continuous HR Measures gan Morelli, Davide, Rossi, Alessio, Bartoloni, Leonardo, Cairo, Massimo, Clifton, David A.

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Assessment of lung function using a non-invasive oscillating gas-forcing technique() gan Clifton, Lei, Clifton, David A., Hahn, Clive E.W., Farmery, Andrew D.

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A Non-Invasive Method for Estimating Cardiopulmonary Variables Using Breath-by-Breath Injection of Two Tracer Gases gan Clifton, Lei, Clifton, David A., Hahn, Clive E. W., Farmeryy, Andrew D.

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Manual centile-based early warning scores derived from statistical distributions of observational vital-sign data() gan Watkinson, Peter J., Pimentel, Marco A.F., Clifton, David A., Tarassenko, Lionel

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Machine learning in patient flow: a review gan El-Bouri, Rasheed, Taylor, Thomas, Youssef, Alexey, Zhu, Tingting, Clifton, David A

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Estimation of respiratory rate from motion contaminated photoplethysmography signals incorporating accelerometry gan Jarchi, Delaram, Charlton, Peter, Pimentel, Marco, Casson, Alex, Tarassenko, Lionel, Clifton, David A.

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Machine learning to predict the source of campylobacteriosis using whole genome data gan Arning, Nicolas, Sheppard, Samuel K., Bayliss, Sion, Clifton, David A., Wilson, Daniel J.

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A Deep Learning Approach for the Assessment of Signal Quality of Non-Invasive Foetal Electrocardiography gan Mertes, Gert, Long, Yuan, Liu, Zhangdaihong, Li, Yuhui, Yang, Yang, Clifton, David A.

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