The Use of Event-Related Potentials and Machine Learning to Improve Diagnostic Testing and Prediction of Disease Progression in Parkinson's Disease
Lueck Christian J; Suominen Hanna; Daskalaki Elena; Vlieger Robin; Apthorp Deborah
The Use of Event-Related Potentials and Machine Learning to Improve Diagnostic Testing and Prediction of Disease Progression in Parkinson's Disease
Lueck Christian J
Suominen Hanna
Daskalaki Elena
Vlieger Robin
Apthorp Deborah
Julkaisun pysyvä osoite on:
https://urn.fi/URN:NBN:fi-fe2022091258515
https://urn.fi/URN:NBN:fi-fe2022091258515
Tiivistelmä
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.
Kokoelmat
- Rinnakkaistallenteet [19207]