Machine Learning

Personalising intravenous to oral antibiotic switch decision making through fair interpretable machine learning
Fair and interpretable machine learning models for individualised antimicrobial stewardship decision-making.
William Bolton, Richard Wilson, Mark Gilchrist, Pantelis Georgiou, Alison Holmes, Timothy Rawson
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Personalising intravenous to oral antibiotic switch decision making through fair interpretable machine learning
Machine learning based clinical decision support for individualised antibiotic side effect prediction
Supervised masters student project
William Bolton, Vasileios Stylianos Sotiropoulos, Pantelis Georgiou
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Machine learning based clinical decision support for individualised antibiotic side effect prediction