Deep Learning

Artificial Intelligence Clinical Decision Support for Antibiotic Optimisation at ESCMID 2024
Presented two posters at ESCMID 2024 a leading global conference on infectious disease
Apr 30, 2024 Barcelona, Spain
Artificial Intelligence Clinical Decision Support for Antibiotic Optimisation at ESCMID 2024
Co-morbidity Representation in Artificial Intelligence at AAAI 2024
Attended AAAI 2024 and presented my work on representing patients and their co-morbidities at the Health Intelligence Workshop
Feb 27, 2024 Vancoucer, Canada
Code Poster Slides
Co-morbidity Representation in Artificial Intelligence at AAAI 2024
Co-morbidity Representation in Artificial Intelligence: Tapping into Unused Clinical Knowledge
Co-morbidities or long-term medical conditions are an essential piece of clinical information that can drastically alter a patient’s …
William Bolton, Pantelis Georgiou, Alison Holmes, Timothy Rawson
Code Poster Slides
Co-morbidity Representation in Artificial Intelligence: Tapping into Unused Clinical Knowledge
Deep Learning for Individualised Antibiotic Readmission Prediction
Supervised masters student project
William Bolton, Boon Liang Wong, Pantelis Georgiou
PDF
Deep Learning for Individualised Antibiotic Readmission Prediction
Digital Solutions for Infectious Disease Session at ECCMID 2023
Presented my PhD research to >250 people at ECCMID 2023 a leading global conference on infectious disease
Apr 15, 2023 Copenhahen, Denmark
Slides
Digital Solutions for Infectious Disease Session at ECCMID 2023
Machine learning and synthetic outcome estimation for individualised antimicrobial cessation
The decision on when it is appropriate to stop antimicrobial treatment in an individual patient is complex and under-researched. …
William Bolton, Timothy Rawson, Bernard Hernandez, Richard Wilson, David Antcliffe, Pantelis Georgiou, Alison Holmes
PDF Cite Source Document
Machine learning and synthetic outcome estimation for individualised antimicrobial cessation