Machine learning and neural networks in dementia and younger onset dementia.
- Research Opportunity
- Honours students, Master of Biomedical Science
- Department / Centre
- Royal Melbourne Hospital
|Dr Anita Gohemail@example.com||Personal web page|
|Professor Dennis Velakoulisfirstname.lastname@example.org||Personal web page|
|Dr Beena Ahmedemail@example.com|
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).
Faculty Research Themes
School Research Themes
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
For further information about this research, please contact a supervisor.
Department / Centre
Research NodeRoyal Melbourne Hospital
MDHS Research library
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