Computational Neurology: Computational Modeling Approaches in Dementia

Research output: Chapter in Book/Report/Conference proceedingChapter

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 languageEnglish
Title of host publicationSystems Medicine: Integrative, Qualitative and Computational Approaches
EditorsOlaf Wolkenhauer
PublisherElsevier Inc.
Number of pages9
Publication statusAccepted/In press - 7 Mar 2020

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    Wong-Lin, K., Sanchez Bornot, J., McCombe, N., Kaur, D., McClean, P., Zou, X., ... Joshi, A. (Accepted/In press). Computational Neurology: Computational Modeling Approaches in Dementia. In O. Wolkenhauer (Ed.), Systems Medicine: Integrative, Qualitative and Computational Approaches Elsevier Inc..