Deborah Apthorp
Orcid: 0000-0001-5785-024X
According to our database1,
Deborah Apthorp
authored at least 7 papers
between 2019 and 2023.
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Bibliography
2023
Has machine learning over-promised in healthcare?: A critical analysis and a proposal for improved evaluation, with evidence from Parkinson's disease.
Artif. Intell. Medicine, May, 2023
Evaluating Effects of Resting-State Electroencephalography Data Pre-Processing on a Machine Learning Task for Parkinson's Disease.
Proceedings of the MEDINFO 2023 - The Future Is Accessible, 2023
Evaluating methods of oversampling and averaging resting-state electroencephalography data in classifying Parkinson's disease.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
2021
The Use of Event-Related Potentials and Machine Learning to Improve Diagnostic Testing and Prediction of Disease Progression in Parkinson's Disease.
Proceedings of the Nurses and Midwives in the Digital Age - Selected Papers, Posters and Panels from the 15th International Congress in Nursing Informatics, Virtual Event, 23 August, 2021
Finger Tapping Measures for Parkinson's Disease: Preliminary Evaluation of an Android Application for Data Collection in Australia.
Proceedings of the Nurses and Midwives in the Digital Age - Selected Papers, Posters and Panels from the 15th International Congress in Nursing Informatics, Virtual Event, 23 August, 2021
Which Features of Postural Sway are Effective in Distinguishing Parkinson's Disease Patients from Controls? An Experimental Investigation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
2019
Postural stability predicts the likelihood of cybersickness in active HMD-based virtual reality.
Displays, 2019