Daniel Burns

Using explainable machine learning to characterise data drift and detect emergent health risks for emergency department admissions during COVID-19

Christopher Duckworth, Francis Chmiel, Daniel Burns et al. · Scientific Reports · 2021 · 96 citations · Full text

Frame-covariant formulation of inflation in scalar-curvature theories

Daniel Burns, Sotirios Karamitsos, Apostolos Pilaftsis · Nuclear Physics B · 2016 · 54 citations · Full text

Diagnostic accuracy of loop-mediated isothermal amplification coupled to nanopore sequencing (LamPORE) for the detection of SARS-CoV-2 infection at scale in symptomatic and asymptomatic populations

Anetta Ptasinska, Celina Whalley, Andrew Bosworth et al. · Clinical Microbiology and Infection · 2021 · 42 citations · Full text

Prediction of Chronic Obstructive Pulmonary Disease Exacerbation Events by Using Patient Self-reported Data in a Digital Health App: Statistical Evaluation and Machine Learning Approach

Francis Chmiel, Daniel Burns, Brian Pickering et al. · JMIR Medical Informatics · 2022 · 29 citations · Full text

Using explainable machine learning to identify patients at risk of reattendance at discharge from emergency departments

Francis Chmiel, Daniel Burns, Martin Azor et al. · Scientific Reports · 2021 · 26 citations · Full text