A systematic analysis of assorted machine learning classifiers to assess their potential in accurate prediction of dementia

Afreen Khan, Swaleha Zubair and Samreen Khan

Arab Gulf Journal of Scientific Research, 2022, vol. 40, issue 1, 2-24

Abstract: Purpose - This study aimed to assess the potential of the Clinical Dementia Rating (CDR) Scale in the prognosis of dementia in elderly subjects. Design/methodology/approach - Dementia staging severity is clinically an essential task, so the authors used machine learning (ML) on the magnetic resonance imaging (MRI) features to locate and study the impact of various MR readings onto the classification of demented and nondemented patients. The authors used cross-sectional MRI data in this study. The designed ML approach established the role of CDR in the prognosis of inflicted and normal patients. Moreover, the pattern analysis indicated CDR as a strong cohort amongst the various attributes, with CDR to have a significant value ofp

Keywords: Alzheimer's disease; Clinical dementia rating scale; Cross-sectional; Dementia; Machine learning; MRI; Prediction (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:eme:agjsrp:agjsr-04-2022-0029

DOI: 10.1108/AGJSR-04-2022-0029

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