Assessment of Alzheimer-related pathologies of dementia using machine learning feature selection.

ABSTRACT: Although a variety of brain lesions may contribute to the pathological assessment of dementia, the relationship of these lesions to dementia, how they interact and how to quantify them remains uncertain. Systematically assessing neuropathological measures by their degree of association with dementia may lead to better diagnostic systems and treatment targets. This study aims to apply machine learning approaches to feature selection in order to identify critical features of Alzheimer-related pathologies associated with dementia. We applied machine learning techniques for feature ranking and classification to objectively compare neuropathological features and their relationship to dementia status during life using a cohort (n=186) from the Cognitive Function and Ageing Study (CFAS). We first

SUBMITTER: Rajab MD 

PROVIDER: S-EPMC9999590 | biostudies-literature | 2023 Mar

REPOSITORIES: biostudies-literature