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Frontiers in Neurology|March 16, 2019
Planning and Providing Acute Stroke Care in England: The Effect of Planning Footprint SizeMichael Allen, Kerry Pearn, Emma Villeneuve, et al.BMJ Open|December 17, 2017
Feasibility of a hyper-acute stroke unit model of care across England: a modelling analysisMichael Allen, Kerry Pearn, Emma Villeneuve, et al.European Stroke Journal|July 22, 2023
What would other emergency stroke teams do? Using explainable machine learning to understand variation in thrombolysis practiceKerry Pearn, Michael Allen, Anna Laws, et al.Risk Analysis : an Official Publication of the Society for Risk Analysis|November 19, 2016
U.K. Foot and Mouth Disease: A Systemic Risk Assessment of Existing ControlsJoão Delgado, Simon Pollard, Kerry Pearn, et al.BMJ Open|September 19, 2019
Can clinical audits be enhanced by pathway simulation and machine learning? An example from the acute stroke pathwayMichael Allen, Kerry Pearn, Thomas Monks, et al.European Stroke Journal|March 18, 2022
National implementation of reperfusion for acute ischaemic stroke in England: How should services be configured? A modelling studyMichael Allen, Kerry Pearn, Gary A Ford, et al.Stroke|July 21, 2022
Use of Clinical Pathway Simulation and Machine Learning to Identify Key Levers for Maximizing the Benefit of Intravenous Thrombolysis in Acute StrokeMichael Allen, Charlotte James, Julia Frost, et al.European Stroke Journal|June 6, 2019
Maximising access to thrombectomy services for stroke in England: A modelling studyMichael Allen, Kerry Pearn, Martin James, et al.European Stroke Journal|July 13, 2026
A machine learning study of the effect of thrombolysis on outcome at discharge in the UK stroke registry: how does benefit compare with clinical trials?Kerry Pearn, Michael Allen, Anna Laws, et al.BMC Emergency Medicine|July 2, 2025
Modelling the potential clinical benefit of mobile stroke units in EnglandAnna Laws, Michael Allen, Jason Scott, et al.Pageof 2