Enhancing the clinical relevance of haemorrhage prediction models in trauma.

Abstract

Authors

• Sankalp Tandle
  Centre for Trauma Sciences, Blizard Institute, Queen Mary University of London, London, E1 2AT, UK. sankalp.tandle1@nhs.net.
• Jared M Wohlgemut
  Centre for Trauma Sciences, Blizard Institute, Queen Mary University of London, London, E1 2AT, UK.
• Max E R Marsden
  Centre for Trauma Sciences, Blizard Institute, Queen Mary University of London, London, E1 2AT, UK.
• Erhan Pisirir
  Department of Electronic Engineering and Computer Science, Queen Mary University of London, London, E1 4NS, UK.
• Evangelia Kyrimi
  School of Electronic Engineering and Computer Science (EECS), Queen Mary University of London, London, United Kingdom. Electronic address: e.kyrimi@qmul.ac.uk.
• Rebecca S Stoner
  Centre for Trauma Sciences, Blizard Institute, Queen Mary University of London, London, E1 2AT, UK.
• William Marsh
  Risk and Information Management Research Group, School of Electronic Engineering and Computer Science, Queen Mary University of London, Mile End Road, Mile End Campus, Computer Science Building, E1 4NS London, UK.
• Zane B Perkins
  Centre for Trauma Sciences, Queen Mary, University of London. London, UK.
• Nigel R M Tai
  Centre for Trauma Sciences, Queen Mary, University of London. London, UK.

Keywords

External Resources