Deborah Apthorp
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The use of event-related potentials in the investigation of cognitive performance in people with Multiple Sclerosis: Systematic review
Has machine learning over-promised in healthcare?: A critical analysis and a proposal for improved evaluation, with evidence from Parkinson’s disease
Evaluating Effects of Resting-State Electroencephalography Data Pre-Processing on a Machine Learning Task for Parkinson’s Disease
Finger tapping measures for Parkinson’s disease: Preliminary evaluation of an Android application for data collection in Australia
The use of event-related potentials and machine learning to improve diagnostic testing and prediction of disease progression in Parkinson's disease
Which features of postural sway are effective in distinguishing Parkinson's disease from controls? An experimental investigation
Which features of postural sway are effective in distinguishing Parkinson's disease from controls? A systematic review
Robust feature engineering for Parkinson disease diagnosis: New machine learning techniques
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