  Dementia is a collection of symptoms associated with impaired cognition and
impedes everyday normal functioning. Dementia, with Alzheimer's disease
constituting its most common type, is highly complex in terms of etiology and
pathophysiology. A more quantitative or computational attitude towards dementia
research, or more generally in neurology, is becoming necessary - Computational
Neurology. We provide a focused review of some computational approaches that
have been developed and applied to the study of dementia, particularly
Alzheimer's disease. Both mechanistic modeling and data-drive, including AI or
machine learning, approaches are discussed. Linkage to clinical decision
support systems for dementia diagnosis will also be discussed.
