Prediction of cognitive impairment via deep learning trained with multi-center neuropsychological test data.

Journal: BMC medical informatics and decision making
Published Date: Nov 21, 2019

Abstract

BACKGROUND: Neuropsychological tests (NPTs) are important tools for informing diagnoses of cognitive impairment (CI). However, interpreting NPTs requires specialists and is thus time-consuming. To streamline the application of NPTs in clinical settings, we developed and evaluated the accuracy of a machine learning algorithm using multi-center NPT data.

Authors

  • Min Ju Kang
    Department of Neurology, Seoul National University College of Medicine & Seoul National University Bundang Hospital, Seoul, South Korea.
  • Sang Yun Kim
  • Duk L Na
    Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, 06351, Korea.
  • Byeong C Kim
    Department of Neurology, Chonnam National University Medical School, Gwangju, South Korea.
  • Dong Won Yang
    Department of Neurology, College of Medicine, The Catholic University of Korea, Seoul, South Korea.
  • Eun-Joo Kim
    Department of Neurology, Busan National University Hospital, Busan, Republic of Korea.
  • Hae Ri Na
    The Brain Fitness Center, Bobath Memorial Hospital, Seongnam, South Korea.
  • Hyun Jeong Han
    Department of Neurology, Myongji Hospital, Hanyang University College of Medicine, Goyang, South Korea.
  • Jae-Hong Lee
    Department of Neurology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.
  • Jong Hun Kim
    Department of Food Science and Biotechnology, Sungshin Women's University, Seoul, 01133 Republic of Korea.
  • Kee Hyung Park
    Department of Neurology, College of Medicine, Gachon University Gil Hospital, Incheon, South Korea.
  • Kyung Won Park
    Department of Neurology, Dong-A University College of Medicine and Institute of Convergence Bio-Health, Busan, South Korea.
  • Seol-Heui Han
    Department of Neurology, Konkuk University Medical Center, Seoul, South Korea.
  • Seong Yoon Kim
    Department of Psychiatry, University of Ulsan College of Medicine, Asan Medical Center, Seoul, South Korea.
  • Soo Jin Yoon
    Department of Neurology, Eulji University College of Medicine, Daejeon, South Korea.
  • Bora Yoon
    Department of Neurology, Konyang University Hospital, College of Medicine, Konyang University, Daejeon, South Korea.
  • Sang Won Seo
    Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, 06351, Korea. sangwonseo@empal.com.
  • So Young Moon
    Department of Neurology, Ajou University School of Medicine, Suwon, South Korea.
  • YoungSoon Yang
    Department of Neurology, Veterans Health Service Medical Center, Seoul, South Korea.
  • Yong S Shim
    Department of Neurology, Eunpyeong St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, South Korea.
  • Min Jae Baek
    Department of Neurology, Seoul National University College of Medicine & Seoul National University Bundang Hospital, Seoul, South Korea.
  • Jee Hyang Jeong
    Department of Neurology, Ewha Womans University School of Medicine, Seoul, South Korea.
  • Seong Hye Choi
    Department of Neurology, Inha University School of Medicine, Incheon, South Korea.
  • Young Chul Youn
    Department of Neurology, Chung-Ang University College of Medicine, Seoul, Korea.

Keywords

External Resources

Popular Topics
Recent Journals