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Thesis

Objective assessment of Parkinson's disease using machine learning

Abstract:

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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Division:
MPLS
Department:
Engineering Science
Role:
Author

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Role:
Supervisor
Role:
Supervisor
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Name:
RCUK Digital Economy Programme
Funding agency for:
Prince, J
Grant:
EP/G036861/1
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Name:
Engineering & Physical Sciences Research Council
Funding agency for:
Prince, J
Type of award:
DPhil
Level of award:
Doctoral
Awarding institution:
University of Oxford
Subjects:
UUID:
uuid:fa35ec54-cb90-42f9-ae1a-cf1cf73f32e3
Deposit date:
2019-04-24

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