2020/05/05 by KongFatt Wong-Lin, Wong-Lin, KongFatt, Jose M. Sanchez-Bornot +31
Biochemistry, Genetics and Molecular Biology · #FOS: Biological sciences #Neurons and Cognition (q-bio.NC) #Quantitative Methods (q-bio.QM) #q-bio.NC #q-bio.QM
paper · pdf · doi:10.48550/arxiv.2005.02214
Accepted manuscript as a book chapter in Systems Medicine: Integrative, Qualitative and Computational Approaches. Wolkenhauer, O. (ed.). Elsevier Inc
arxiv created 2020/05/05 · arxiv updated 2020/05/06
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.