Developing an intelligent privacy-preserving tool to track infection risk in long-term healthcare units to support infection prevention and control” project plans to develop and test an algorithm to predict the risk of infection in long-term care unit patients using deep neural graph model approaches, supported by real-time clinical and environmental information.

Keywords: antimicrobial resistance; artificial intelligence-based predictive tools; infection prevention and control

Principal Investigator: Sónia Gonçalves Pereira

Research Team 

• ciTechCare: Catarina Marques;
• Polytechnic University of Leiria: Filipa Amorim
• University of Applied Sciences and Arts of Western Switzerland: Douglas Teodoro
• University of Geneva: Racha Gouareb.

Duration: 12 months (2020 – 2023)

Institutional Partners and Others

• University of Applied Sciences and Arts of Western Switzerland

Funding: FCT