PROGNOSIS

Prognosis proposes an intelligent ICT-based approach for early PD symptoms detection and early intervention in older adult’s everyday life, promoting active and healthy aging, by introducing new ways of health self-managing tools, set within a collaborative care context with health professionals. Specifically, the main aim of PROGNOSIS is to create an ICT-based, unobtrusive behavioral analysis approach for capturing, as early as possible, the PD symptoms appearance and to apply ICT-based interventions countering identified risks based on early PD detection, relating to progressive frailty, falls and emotional shift towards depression.

Prognosis is a team of passionate students of the Faculty of Engineering and Computer Science. In concert with the doctors' community we propose a new approach to the early Parkinson's Disease detection and intervention, by introducing new ways of care services and health self-managing tools. Website: http://prognosis.co.nf/