Abstract
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-driven, including AI or machine learning, approaches are discussed. Linkage to clinical decision support systems for dementia diagnosis will also be discussed.
Original language | English |
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Title of host publication | Systems Medicine: Integrative, Qualitative and Computational Approaches |
Editors | Olaf Wolkenhauer |
Place of Publication | United States |
Publisher | Elsevier Inc. |
Pages | 81-89 |
Number of pages | 9 |
Volume | 2 |
ISBN (Electronic) | 9780128160787 |
ISBN (Print) | 9780128160770 |
DOIs | |
Publication status | Published - 28 Aug 2020 |
Externally published | Yes |