Utility of MemTrax and Machine Learning Modeling in Classification of Mild Cognitive Impairment.

Journal: Journal of Alzheimer's disease : JAD
PMID: 32894241

Abstract

BACKGROUND: The widespread incidence and prevalence of Alzheimer's disease and mild cognitive impairment (MCI) has prompted an urgent call for research to validate early detection cognitive screening and assessment.

Authors

  • Michael F Bergeron
    SIVOTEC Analytics, Boca Raton, FL, USA.
  • Sara Landset
    Department of Computer and Electrical Engineering and Computer Science, Florida Atlantic University, Boca Raton, FL, USA.
  • Xianbo Zhou
    SJN Biomed LTD, Kunming, Yunnan, China.
  • Tao Ding
    Cardiovascular Research Institute, Yong Loo Lin School of Medicine, National University of Singapore.
  • Taghi M Khoshgoftaar
    Florida Atlantic University, United States. Electronic address: khoshgof@fau.edu.
  • Feng Zhao
    Department of Blood Transfusion, The First Affiliated Hospital of Ningbo University, Ningbo, China.
  • Bo Du
    School of Computer Science, Wuhan University, Wuhan, 430072, China. Electronic address: remoteking@whu.edu.cn.
  • Xinjie Chen
    Department of Neurology, the First Affiliated Hospital of Kunming Medical University, Wuhua District, Kunming, Yunnan Province, China.
  • Xuan Wang
    Baylor Scott & White Health, Dallas, TX, USA.
  • Lianmei Zhong
    Department of Neurology, the First Affiliated Hospital of Kunming Medical University, Wuhua District, Kunming, Yunnan Province, China.
  • Xiaolei Liu
    Department of Neurology, the First Affiliated Hospital of Kunming Medical University, Wuhua District, Kunming, Yunnan Province, China.
  • J Wesson Ashford
    War-Related Illness and Injury Study Center, VA Palo Alto Health Care System and Department of Psychiatry & Behavioral Sciences, Stanford University School of Medicine, Palo Alto, CA, USA.

Keywords

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