2019 Cohort
Student | Project name | Supervisor(s |
Improving early recognition, management, outcome prediction, and antimicrobial prescribing for sepsis, using a Bayesian statistical learning and prediction model |
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A computational approach to understanding interactions between parents and infants |
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Bridget Ellis | Self-harm and digital technologies |
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Holly Fraser | Can machine learning be used to predict antidepressant use outcome longitudinally? |
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Henry Glyde | Supporting self-management of COPD and asthma |
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Morgan Jenkinson | Investigation and Development of an Endourology Haptic Robot Simulator for Surgical Training |
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Daniel Kumpik | Establishing computational behavioural models for the detection of early dementia from speech |
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Joe Matthews | Investigating the mechanistic relationship between smoking and sleep to inform a tailored digital sleep intervention for smokers. |
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Marceli Wac | Machine Learning for the Improvement of Weaning from Mechanical Ventilation on the Intensive Care Unit |
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