Design and Evaluation of Machine Learning Techniques for Prediction of Alzheimer׳s Disease and Mild Cognitive Impairment
||02 July 2021
||11:00 AM - 12:30 PM
||Online via Zoom
||For more information,please contact the Graduate Research School.
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Dementia is an umbrella term to describe a syndrome associated with memory decline, reasoning deficit, retarded thinking, language impairment, disorientation of time or place, changes in mood or behaviour. Alzheimer’s Disease is one of the most common forms of dementia. The diagnosis of AD involves a series of complex processes where multiple factors (originating from genetic and environmental sources) interact with non-linear interplays of the severity of AD. This PhD proposal aims to build an explainable artificial intelligence (xAI) modelling framework to complement the existing deep learning models. The PhD study is also expected to help clinicians and health practitioners to subsequently adopt these approaches to gain insights into the interpretability of machine learning predictions of AD for medical practice.