Advances in artificial intelligence have cultivated a strong interest in developing and
validating the clinical utilities of computer-aided diagnostic models. Machine learning for …

Multi-criterion decision making (MCDM) methods can derive alternative rankings as
solutions to decision-making problems based on survey or historical data about the …

Integrating multi-view information to gain a new understanding of complex disease like
Alzheimer's disease (AD) has great clinical value. Hypergraphs have unique advantages in …

Alzheimer's disease (AD) stands as a formidable neurodegenerative ailment that poses a
substantial threat to the elderly population, with no known curative or disease-slowing drugs …

Abstract Parkinson's disease (PD), a neurodegenerative disorder, is caused due to the lack
of dopamine neurotransmitters throughout the substantia nigra. Its diagnosis in the earlier …

Background Alzheimer's disease (AD) is a prevalent neurodegenerative disorder that poses
a worldwide public health challenge. A neuroimaging biomarker would significantly improve …

Alzheimer's disease is the most common cause of dementia, gradually impairing memory,
intellectual, learning, and organizational capacities. An individual's capacity to perform …

Background Early identification of dementia is crucial for prompt intervention for high-risk
individuals in the general population. External validation studies on prognostic models for …

Dementia, not a particular disease but rather a gathering of conditions which ascribes the
debilitation of atleast two cerebrum capacities, cognitive decline and memory judgment has …

Artificial intelligence (AI) and machine learning (ML) approaches are increasingly being
used in dementia research. However, several methodological challenges exist that may limit …