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个人简介
I work closely with clinical collaborators across King’s Health Partners applying machine learning to patient records at scale. My research develops machine learning methods based on knowledge graphs that combine large public datasets with health records to predict and explain patient outcomes. The focus is on delivering real world clinical value through multiple clinical collaborations including atrial fibrillation management, patient flow, adverse drug reactions, cancer subtyping and kidney failure. I did my PhD at Cambridge University where I worked on applying systems biology methods to neurodegenerative disease, then I joined the Dobson group at KCL in 2016 as a postdoctoral research fellow in the National Institute for Health Research Maudsley Biomedical Research Centre (NIHR Maudsley BRC).
Research Interests:
Using knowledge graphs to improve machine learning performance
Putting machine learning into clinical practice with explainability and real-time support
Natural language processing methods for clinical text
Modelling patient trajectories (PhD supervision)
Research Interests:
Using knowledge graphs to improve machine learning performance
Putting machine learning into clinical practice with explainability and real-time support
Natural language processing methods for clinical text
Modelling patient trajectories (PhD supervision)
研究兴趣
论文共 47 篇作者统计合作学者相似作者
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Zeljko Kraljevic,Dan Bean,Anthony Shek,Rebecca Bendayan,Harry Hemingway,Joshua Au Yeung, Alexander Deng, Alfred Baston, Jack Ross, Esther Idowu,James T Teo,Richard J B Dobson
The Lancet Digital Healthno. 4 (2024): e281-e290
Thomas Coats,Daniel Bean,Aymeric Basset, Tamir Sirkis, Jonathan Brammeld,Sean Johnson,Ian Thomas,Amanda Gilkes,Kavita Raj,Mike Dennis,Steve Knapper,Priyanka Mehta,
Journal of psychiatric research (2022): 167-173
PLOS digital healthno. 5 (2022): e0000218-e0000218
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