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

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  • Afreen Khan
  • Swaleha Zubair
  • Samreen Khan

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

Suggested Citation

  • Afreen Khan & Swaleha Zubair & Samreen Khan, 2022. "A systematic analysis of assorted machine learning classifiers to assess their potential in accurate prediction of dementia," Arab Gulf Journal of Scientific Research, Emerald Group Publishing Limited, vol. 40(1), pages 2-24, July.
    • Handle: RePEc:eme:agjsrp:agjsr-04-2022-0029
    DOI: 10.1108/AGJSR-04-2022-0029
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