Description
To date neurological disorders have been studied and evaluated using a list based on the frequencies of symptoms and signs. This approach is not useful for phenotyping patients or discovering patterns among the symptoms and signs. Discovery of patterns require the use of mathematical manipulation of the matrix of data. Such knowledge can aid prediction of long-term outcome.
Currently, there are open data repository to permit this type of analysis of Parkinson's disease. These repositories contain clinical, genomic and imaging data.
Essential criteria:
Minimum entry requirements can be found here: https://www.monash.edu/admissions/entry-requirements/minimum
Keywords
Parkinson's disease, machine learning
School
School of Clinical Sciences at Monash Health / Hudson Institute of Medical Research » Medicine - Monash Medical Centre
Available options
PhD/Doctorate
Honours
BMedSc(Hons)
Time commitment
Full-time
Physical location
Monash Medical Centre Clayton
Co-supervisors
Prof
Henry Ma