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The Use of Event-Related Potentials and Machine Learning to Improve Diagnostic Testing and Prediction of Disease Progression in Parkinson's Disease

Vlieger, Robin; Daskalaki, Eleni; Apthorp, Deborah; Lueck, Christian; Suominen, Hanna


Current tests of disease status in Parkinson's disease suffer from high variability, limiting their ability to determine disease severity and prognosis. Event-related potentials, in conjunction with machine learning, may provide a more objective assessment. In this study, we will use event-related potentials to develop machine learning models, aiming to provide an objective way to assess disease status and predict disease progression in Parkinson's disease.

CollectionsANU Research Publications
Date published: 2021
Type: Conference paper
Source: Nurses and Midwives in the Digital Age
DOI: 10.3233/SHTI210737
Access Rights: Open Access


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