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Principal Investigator  
Principal Investigator's Name: Aw Hui Yee
Institution: University Malaysia Perlis
Department: UNIVERSITY
Proposed Analysis: Alzheimer's disease (AD) is a neurodegenerative disorder of uncertain cause and pathogenesis that primarily affects older adults and is the most common cause of dementia. The earliest clinical manifestation of AD is selective memory impairment and then turn into Mild Cognitive Impairment (MCI) and while existed treatments are available to ameliorate some symptoms, but there is no cure currently available. Magnetic resonance imaging is commonly used in diagnosing and predicting early detection of the AD as well as the MCI to AD conversion. Some studies have suggested that MRI features may predict rate of decline of AD because they do not apply ionizing radiation onto the patient and less expensive than the use of positron emission tomography (PET) and may guide advanced therapy in the future. However, in order to reach that stage, clinicians and researchers will have to make use of machine learning techniques that can accurately predict progress of a patient from mild cognitive impairment to dementia. This project is aimed to develop a predictive analytic tool that can help clinicians to detect Alzheimer's disease in early stage.
Additional Investigators