Research project

TriagED - Decision support algorithms for Emergency Departments

Research groups:

Smart Electronic Materials and Systems

IT Innovation
Lead researchers:

Professor Neil White
Research funder:

Alan Turing Institute
Status:

Not active

Staff

Lead researchers

Professor Neil White BSc, PhD, DSc, CEng, CPhys, FIET, FInstP, SMIEEE

Professor in Intelligent Sensor Systems

Research interests

Medical sensors
Intelligent sensor systemS
Energy harvesting

Connect with Neil

Email: nmw@ecs.soton.ac.uk

Collaborating research institutes, centres and groups

Research outputs

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

Christopher Duckworth, Francis P. Chmiel, Dan K. Burns, Zlatko D. Zlatev, Neil M. White, Thomas W.V. Daniels, Michael Kiuber & Michael J. Boniface, 2021, Scientific Reports, 11(1)

DOI: 10.1038/s41598-021-02481-y

Type: article

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

F. P. Chmiel, D. K. Burns, M. Azor, F. Borca, M. J. Boniface, Z. D. Zlatev, N. M. White, T. W.V. Daniels & M. Kiuber, 2021, Scientific Reports, 11(1)

DOI: 10.1038/s41598-021-00937-9