Objective assessment of Parkinson's disease using machine learning

Thesis

Neurodegenerative disorders, such as Parkinson’s disease (PD), are infamously heterogeneous in regards to onset age, symptom prevalence, and severity progression rate. The current ‘gold standard’ techniques currently in use to assess the highly debilitating motor and non-motor symptoms are subjective, infrequent, and often ineffective with up to 20% of cases going undiagnosed until post-mortem. As such, these traditional and well established clinical assessment techniques are now star...

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Authors: Prince, J

• DOI: 10.5287/ora-daw9non2j
• Type of award: DPhil
• Level of award: Doctoral
• Awarding institution: University of Oxford
• Subjects: Multi-Modality Data Fusion; Deep Learning; Machine Learning; Neuroscience