Published February 14, 2023 | Version v1
Conference paper Open

An Explainable Intervention Prediction for Trauma Patients

Authors/Creators

  • 1. School of Informatics, Aristotle University of Thessaloniki and Centre for Research & Technology Hellas, Information Technologies Institute
  • 2. Centre for Research & Technology Hellas, Information Technologies Institute
  • 3. School of Informatics, Aristotle University of Thessaloniki

Description

Trauma patients are commonly severely injured people that require systematic evaluation and rapid response. This paper presents work in progress for an explainable, late fusion and Deep Learning-based prediction system for interventions in Intensive Care Units (ICU) by employing neurosymbolic Explainable Artificial Intelligence (XAI) techniques.

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Additional details

Funding

European Commission
INGENIOUS - The First Responder (FR) of the Future: a Next Generation Integrated Toolkit (NGIT) for Collaborative Response, increasing protection and augmenting operational capacity 833435
European Commission
NIGHTINGALE - Novel InteGrated toolkit for enhanced pre-Hospital life support and Triage IN challenGing And Large Emergencies 101021957