35 citations · 37 across the 8 of their papers we have counts for
8 papers
A Real-World Evaluation of LLM Medication Safety Reviews in NHS Primary Care
Oliver Normand, Esther Borsi, Mitch Fruin +6
Large language models (LLMs) often match or exceed clinician-level performance on medical benchmarks, yet very few are evaluated on real clinical data or examined beyond headline m…
Automating Thematic Review of Prevention of Future Deaths Reports: Replicating the ONS Child Suicide Study using Large Language Models
Sam Osian, Arpan Dutta, Sahil Bhandari +2
Prevention of Future Deaths (PFD) reports, issued by coroners in England and Wales, flag systemic hazards that may lead to further loss of life. Analysis of these reports has previ…
Improving Pre-trained Language Model Sensitivity via Mask Specific losses: A case study on Biomedical NER
Micheal Abaho, Danushka Bollegala, Gary Leeming +2
Adapting language models (LMs) to novel domains is often achieved through fine-tuning a pre-trained LM (PLM) on domain-specific data. Fine-tuning introduces new knowledge into an L…
Calibration plots for multistate risk predictions models: an overview and simulation comparing novel approaches
Alexander Pate, Matthew Sperrin, Richard D. Riley +9
Introduction. There is currently no guidance on how to assess the calibration of multistate models used for risk prediction. We introduce several techniques that can be used to pro…
Clinical Prediction Models to Predict the Risk of Multiple Binary Outcomes: a comparison of approaches
Glen P. Martin, Matthew Sperrin, Kym I. E. Snell +2
Clinical prediction models (CPMs) are used to predict clinically relevant outcomes or events. Typically, prognostic CPMs are derived to predict the risk of a single future outcome.…
Using marginal structural models to adjust for treatment drop-in when developing clinical prediction models
Matthew Sperrin, Glen Martin, Tjeerd Van Staa +2
Objectives: Clinical prediction models (CPMs) can inform decision-making concerning treatment initiation. Here, one requires predicted risks assuming that no treatment is given. Th…