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PARKINSON’S DISEASE DECISION SUPPORT SYSTEM

DIAGNOSTIC AND EARLY DETECTION IN NEURODEGENERATION

With the support of the Michael J Fox Foundation, we have developed a Decision Support System for the early detection of Parkinson’s Disease from the analysis of EEG recordings – 8 years on average before its diagnosis. The developed machine learning algorithms (SVM, Random Forests and Deep Learning) have translational value for the development of drugs and for developing neuroprotective publich health measures.

 

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