Machine learning and neural networks in dementia and younger onset dementia.

Research Opportunity
Honours students, Master of Biomedical Science
Department / Centre
Psychiatry
Location
Royal Melbourne Hospital
Primary Supervisor Email Number Webpage
Dr Anita Goh goha@unimelb.edu.au Personal web page
Co-supervisor Email Number Webpage
Professor Dennis Velakoulis dennisv@unimelb.edu.au Personal web page
Dr Beena Ahmed beena.ahmed@unsw.edu.au

Summary This project reviews the literature regarding using artificial intelligence and machine learning in dementia research, including in younger onset dementia. Techniques such as machine learning algorithms (Least Absolute Shrinkage and Selection Operator (LASSO); Elastic Net; Support Vector Machines (SVM); Random Forest; and class-weighted SVM) will be compared with conventional statistical analysis (such as stepwise binary logistic regression).

Project Details

This project reviews the literature regarding using machine learning in dementia research, including in younger onset dementia.  For example, machine learning has been previously used to classify people with manifest Huntington’s disease into different symptomatic groups. Techniques such as machine learning algorithms (Least Absolute Shrinkage and Selection Operator (LASSO); Elastic Net; Support Vector Machines (SVM); Random Forest; and class-weighted SVM) will be compared with conventional statistical analysis (such as stepwise binary logistic regression).
This project will suit a student with an interest in psychiatry, computer science, neurology, and neuropsychology, and who is interested in publishing findings.


Faculty Research Themes

Neuroscience

School Research Themes

Neuroscience & Psychiatry



Research Opportunities

Honours students, Master of Biomedical Science
Students who are interested in joining this project will need to consider their elegibility as well as other requirements before contacting the supervisor of this research

Graduate Research application

Honours application

Key Contact

For further information about this research, please contact a supervisor.

Department / Centre

Psychiatry

Research Node

Royal Melbourne Hospital

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