Prediction of attention deficit hyperactivity disorder using the comprehensive attention test: a large-scale machine learning approach.

Journal: Frontiers in psychiatry
Published Date:

Abstract

BACKGROUND: The diagnosis of attention deficit hyperactivity disorder (ADHD) relies on comprehensive approaches, including clinical interviews, scales, and neuropsychological assessments. However, the process is often limited by issues of reliability and availability.

Authors

  • Kwang Su Cha
    Corporate Research Institute, Happymind Inc., Gwacheon-shi, Gyeonggi-do, Republic of Korea.
  • Bongseog Kim
    Department of Psychiatry, Sanggye Paik Hospital, Inje University College of Medicine, 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.
  • Hanik Yoo
    Department of Psychiatry, Seoul Brain Research Institute, Seoul, Republic of Korea.

Keywords

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