A machine learning approach for identifying anatomical biomarkers of early mild cognitive impairment.

Journal: PeerJ
PMID: 39686993

Abstract

BACKGROUND: Alzheimer's Disease (AD) poses a major challenge as a neurodegenerative disorder, and early detection is critical for effective intervention. Magnetic resonance imaging (MRI) is a critical tool in AD research due to its availability and cost-effectiveness in clinical settings.

Authors

  • Alwani Liyana Ahmad
    Department of Fundamental and Applied Sciences, Faculty of Science and Information Technology, Universiti Teknologi PETRONAS, Seri Iskandar, Perak, Malaysia.
  • Jose M Sanchez-Bornot
    Intelligent Systems Research Centre, School of Computing, Engineering and Intelligent Systems, Ulster University, Magee Campus, Derry Londonderry, United Kingdom.
  • Roberto C Sotero
    Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada.
  • Damien Coyle
    Intelligent Systems Research Centre, Ulster University, Londonderry BT48 7JL, UK.
  • Zamzuri Idris
    Department of Neurosciences, Hospital Pakar Universiti Sains Malaysia, Kubang Kerian, Kelantan, Malaysia.
  • Ibrahima Faye
    CISIR, Universiti Teknologi PETRONAS (UTP), Seri Iskandar, Malaysia. Electronic address: ibrahima_faye@utp.edu.my.

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