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03/08/2023
Contribution of clinical course to outcome after traumatic brain injury: mining patient trajectories from European intensive care unit data
Existing methods to characterise the evolving condition of traumatic bra...
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07/05/2022
Bayesian model selection for multilevel models using marginal likelihoods
Multilevel linear models allow flexible statistical modelling of complex...
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02/10/2022
The leap to ordinal: functional prognosis after traumatic brain injury using artificial intelligence
When a patient is admitted to the intensive care unit (ICU) after a trau...
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04/01/2021
Causality indices for bivariate time series data: a comparative review of performance
Inferring nonlinear and asymmetric causal relationships between multivar...
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07/23/2020
Hide-and-Seek Privacy Challenge
The clinical time-series setting poses a unique combination of challenge...
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03/05/2020
Adaptive Prediction Timing for Electronic Health Records
In realistic scenarios, multivariate timeseries evolve over case-by-case...
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09/17/2019
Impact of novel aggregation methods for flexible, time-sensitive EHR prediction without variable selection or cleaning
Dynamic assessment of patient status (e.g. by an automated, continuously...
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09/13/2019
Dynamic survival prediction in intensive care units from heterogeneous time series without the need for variable selection or pre-processing
We present a machine learning pipeline and model that uses the entire un...
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08/08/2019
DeepClean -- self-supervised artefact rejection for intensive care waveform data using generative deep learning
Waveform physiological data is important in the treatment of critically ...
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08/05/2019
Characterising complex healthcare systems using network science: The small world of emergency surgery
Hospitals are complex systems and optimising their function is critical ...
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07/01/2019
ICU Disparnumerophobia and Triskaidekaphobia: The 'Irrational Care Unit'?
Whilst evidence-based medicine is the cornerstone of modern practice, it...
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05/07/2019
