GTT: A global trigger tool for sentinel events in hospitals linked to COVID-19 infections

• Duration: 03.01.2021 - 10.03.2022
  Funding Organization: Ministerium für Wissenschaft und Gesundheit, RlP
  
  Prof. Dr. Maik Kschischo
  Koblenz University of Applied Sciences
  
  

  The aim of this project is to improve early risk stratification of hospitalized Covid-19 patients by predicting in-hospital mortality, transfer to intensive care unit (ICU) and mechanical ventilation from electronic health record data. 

  

  Graphical abstract for the Covid-19 risk prediction system

  
  
  

AI Focus Areas of the Research Project

• Basic Research

  • Machine Learning (ML): Artificial Neural Network (ANN), Decision Tree, Dimensionality Reduction, Feature Engineering/Feature Extraction



• Application related Research

  • Smart Assistant Systems: Digital Medicine
  • Perception and Sensor Fusion: Diagnostics