|Title||Predicting Parkinson's Disease Progression with Smartphone Data|
|Year of Publication||2013|
|Authors||Pramod Anantharam, Krishnaprasad Thirunarayan, Vahid Taslimi, Amit Sheth|
|Keywords||activity monitoring, health and well-being, Sensor data analytics, Smart Phones|
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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