Data-driven knowledge discovery from Brain Imaging of Alzheimer’s disease patients
Professor Giuseppe Di Fatta, Department of Computer Science, University of Reading, United Kingdom
Alzheimer’s disease (AD) is a chronic neurodegenerative disease which is largely responsible for dementia in around 6% of the population aged 65 and above. The availability of human brain data generated by imaging techniques, such as Magnetic Resonance Imaging (MRI), have resulted in a growing interest in data-driven approaches for the diagnosis of neurological disorders and for the identification of their causes. The knowledge discovery process typically involves complex data workflows that combine pre-processing techniques, statistical methods, machine learning and data mining algorithms, post-processing and visualisation techniques. This talk presents specific research efforts in this direction, promising results, open issues and challenges.