Dan Burns

6PUBLICATIONS
11CO-AUTHORS
Electronic device and system performance evaluation, testing and simulationNutritional epidemiologyReinforcement learningCardiology (incl. cardiovascular diseases)Context learning
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Publications (6)

|Sep 09, 2026
How data drift impacts the safety and interpretability of machine learning models predicting risk from blood glucose control.

|Apr 25, 2025
Emergency and routine presentation of neuroendocrine neoplasia in England: determinants of late presentation and survival outcomes.

Marie Line El Asmar, Mohamed Mortagy, Benjamin E White

|Mar 13, 2024
Characterising user engagement with mHealth for chronic disease self-management and impact on machine learning performance.

Christopher Duckworth, Bethany Cliffe, Brian Pickering

|Oct 31, 2023
Exploring the Validity of GOLD 2023 Guidelines: Should GOLD C and D Be Combined?

Christopher Duckworth, Michael J Boniface, Adam Kirk

|Jun 13, 2022
Explainable Machine Learning for Real-Time Hypoglycemia and Hyperglycemia Prediction and Personalized Control Recommendations.

Christopher Duckworth, Matthew J Guy, Anitha Kumaran

|Mar 29, 2022
COVID-19 Oximetry @home: evaluation of patient outcomes.

Michael Boniface, Daniel Burns, Christopher Duckworth

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Frequent Collaborators

3 joint publications

Michael J Boniface

1 joint publications

Anitha Kumaran

1 joint publications

Ben Ainsworth

1 joint publications

Alison Blythin