Alzheimer's disease is an incurable neurodegenerative disease primarily affecting the
elderly population. Efficient automated techniques are needed for early diagnosis of …

Alzheimer's disease (AD) is an irreversible neurodegenerative brain disorder that degrades
the memory and cognitive ability in elderly people. The main reason for memory loss and …

Effective and accurate diagnosis of Alzheimer's disease (AD), as well as its prodromal stage
(ie, mild cognitive impairment (MCI)), has attracted more and more attention recently. So far …

Recently, several high dimensional classification methods have been proposed to
automatically discriminate between patients with Alzheimer's disease (AD) or mild cognitive …

Influence is a complex and subtle force that governs the dynamics of social networks as well
as the behaviors of involved users. Understanding influence can benefit various applications …

Variable importance assessment has become a crucial step in machine-learning
applications when using complex learners, such as deep neural networks, on large-scale …

Patterns of brain atrophy measured by magnetic resonance structural imaging have been
utilized as significant biomarkers for diagnosis of Alzheimer's disease (AD). However, brain …

Analysis of incomplete data is a big challenge when integrating large-scale brain imaging
datasets from different imaging modalities. In the Alzheimer's Disease Neuroimaging …

Although chronic diseases cannot be cured, they can be effectively controlled as long as we
understand their progressions based on the current observational health records, which is …

Understanding the progression of chronic diseases can empower the sufferers in taking
proactive care. To predict the disease status in the future time points, various machine …