Explainability Enhanced Machine Learning Model for Classifying Intellectual Disability and Attention-Deficit/Hyperactivity Disorder With Psychological Test Reports.

Journal: Journal of Korean medical science
PMID: 40132533

Abstract

BACKGROUND: Psychological test reports are essential in assessing intellectual functioning, aiding in diagnosing and treating intellectual disability (ID) and attention-deficit/hyperactivity disorder (ADHD). However, these reports can have several problems because they are diverse, unstructured, subjective, and involve human errors. Additionally, physicians often do not read the entire report, and the number of reports is lower than that of diagnoses.

Authors

  • Tong Min Kim
    Department of Medical Informatics, College of Medicine, The Catholic University of Korea, Seoul, Korea.
  • Young-Hoon Kim
    Department of Orthopedic Surgery, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea.
  • Sung-Hee Song
    Wellysis Corp. Seoul Republic of Korea.
  • In-Young Choi
    Department of Medical Informatics, College of Medicine, The Catholic University of Korea, Seoul, Korea.
  • Dai-Jin Kim
    Department of Psychiatry, College of Medicine, Seoul St. Mary's Hospital, The Catholic University of Korea, Seoul, Republic of Korea.
  • Taehoon Ko
    Office of Hospital Information, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 03080, South Korea.

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