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

Promotor

Thomas Demeester

Fellow

Paloma Rabaey

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.