Predicting Parkinson's Disease Progression with Smartphone Data

TitlePredicting Parkinson's Disease Progression with Smartphone Data
Publication TypeReport
Year of Publication2013
AuthorsPramod Anantharam, Krishnaprasad Thirunarayan, Vahid Taslimi, Amit Sheth
Date Published03/2013
Keywordsactivity monitoring, health and well-being, Sensor data analytics, Smart Phones
Abstract

Most of the existing approaches for detecting diseases/risk score form observations (sensor and textual) ignore the presence of any prior knowledge of the disease. In this work, we start top-down by enumerating the symptoms of Parkinson's Disease (PD) and map the symptoms to its possible manifestations in sensor observations (bottom-up). We show such manifestations and further use these manifestations as features to build classifiers to differentiate between the PD patients and the control group.

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  • Pramod Anantharam, Krishnaprasad Thirunarayan, Vahid Taslimi, Amit Sheth, 'Predicting Parkinson's Disease Progression with Smartphone Data', Technical Report, Submitted to the Parkinson's disease challenge sponsored by The Michael J. Fox Foundation for Parkinson's Research, March, 2013.
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