Using Web Interaction to Monitor Parkinson's Disease Progression through Behavioural Inferences on the Web
Julio Vega · 2016 · Proceedings of the 13th International Web for All Conference (W4A)
This doctoral consortium paper from the University of Manchester proposes a novel approach to monitoring Parkinson's Disease (PD) progression using passive smartphone data collection and web interaction analysis, replacing the intrusive wearable devices and scripted evaluation…
health monitoring · Parkinson's disease · smartphones · machine learning · digital health