Utility of Machine Learning Approach with Neuropsychological Tests in Predicting Functional Impairment of Alzheimer's Disease.

Journal: Journal of Alzheimer's disease : JAD
PMID: 34924390

Abstract

BACKGROUND: In assessing the levels of clinical impairment in dementia, a summary index of neuropsychological batteries has been widely used in describing the overall functional status.

Authors

  • Seyul Kwak
    Department of Psychology, Pusan National University, Busan, Republic of Korea.
  • Dae Jong Oh
    Department of Psychiatry, Seoul Metropolitan Government-Seoul National University College Boramae Medical Center, Seoul, Republic of Korea.
  • Yeong-Ju Jeon
    Department of Psychiatry, Seoul Metropolitan Government-Seoul National University College Boramae Medical Center, Seoul, Republic of Korea.
  • Da Young Oh
    Department of Psychiatry, Seoul Metropolitan Government-Seoul National University College Boramae Medical Center, Seoul, Republic of Korea.
  • Su Mi Park
    Department of Counseling Psychology, Hannam University, Daejeon, Republic of Korea.
  • Hairin Kim
    Department of Psychiatry, Seoul Metropolitan Government-Seoul National University College Boramae Medical Center, Seoul, Republic of Korea.
  • Jun-Young Lee
    Department of Psychiatry and Neuroscience Research Institute, Seoul National University College of Medicine, SMG-SNU Boramae Medical Center, Seoul 07061, Korea.

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