Project

Complexity-driven modelling of macro-conditions in patients with Bodily Distress Syndrome

Code
01D15721
Duration
01 October 2021 → 31 October 2021
Funding
Regional and community funding: Special Research Fund
Research disciplines
  • Natural sciences
    • Machine learning and decision making
    • Complex systems
  • Engineering and technology
    • Human health engineering
Keywords
Complex adaptive systems Biomedical signal processing Predictive modelling Bodily Distress Syndrome
 
Project description

Symptoms in the Bodily Distress Syndrome might stem from a disruption of the human regulatory system. In the case of chronic fatigue syndrome (CFS), this results in a reduced complexity in patients’ micromovements. The proposed research will devise suitable techniques to track the personalised evolution of complexity within patients, working towards new opportunities for diagnosis and treatment.