Machine Learning for the Prediction of Amyloid Positivity in Amnestic Mild Cognitive Impairment.

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

Abstract

BACKGROUND: Amyloid-β (Aβ) evaluation in amnestic mild cognitive impairment (aMCI) patients is important for predicting conversion to Alzheimer's disease. However, Aβ evaluation through Aβ positron emission tomography (PET) is limited due to high cost and safety issues.

Authors

  • Sung Hoon Kang
    Departments of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
  • Bo Kyoung Cheon
    Departments of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
  • Ji-Sun Kim
    Departments of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
  • Hyemin Jang
    Department of Neurology, Sungkyunkwan University of School of Medicine, Samsung Medical Center, 81 Irwon-ro, Gangnam-gu, Seoul, 06351, Republic of Korea. hmjang57@gmail.com.
  • Hee Jin Kim
    Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, 06351, Korea.
  • Kyung Won Park
    Department of Neurology, Dong-A University College of Medicine and Institute of Convergence Bio-Health, Busan, South Korea.
  • Young Noh
    Department of Neurology, Gachon University College of Medicine, Gil Medical Center, Incheon, Republic of Korea. Electronic address: ynoh@gachon.ac.kr.
  • Jin San Lee
    Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, 06351, Korea.
  • Byoung Seok Ye
    Department of Neurology, Severance hospital, Yonsei University School of Medicine, Seoul, Korea.
  • Duk L Na
    Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, 06351, Korea.
  • Hyejoo Lee
    Korea Institute of Science and Technology, Seoul, Republic of Korea.
  • Sang Won Seo
    Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, 06351, Korea. sangwonseo@empal.com.