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Project
Complexity-driven modelling of macro-conditions in patients with Bodily Distress Syndrome
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.
Date:1 Oct 2021 → 31 Oct 2021
Keywords:Bodily Distress Syndrome, Predictive modelling, Complex adaptive systems, Biomedical signal processing
Disciplines:Human health engineering, Complex systems, Machine learning and decision making