Machine-learning-based feature selection to identify attention-deficit hyperactivity disorder using whole-brain white matter microstructure: A longitudinal study.

Journal: Asian journal of psychiatry
PMID: 38820852

Abstract

BACKGROUND: We aimed to identify important features of white matter microstructures collectively distinguishing individuals with attention-deficit/hyperactivity disorder (ADHD) from those without ADHD using a machine-learning approach.

Authors

  • Huey-Ling Chiang
    Department of Psychiatry, Far Eastern Memorial Hospital, New Taipei City, Taiwan; Department of Psychiatry, National Taiwan University Hospital and College of Medicine, Taipei, Taiwan.
  • Chi-Shin Wu
    Department of Psychiatry, National Taiwan University Hospital, Taipei, Taiwan R.O.C.
  • Chang-Le Chen
    Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA 15213, USA.
  • Wen-Yih Isaac Tseng
    Institute of Medical Device and Imaging, College of Medicine, National Taiwan University, Taipei, Taiwan.
  • Susan Shur-Fen Gau
    Department of Psychiatry, National Taiwan University Hospital & College of Medicine, National Taiwan University, Taipei City, Taiwan.

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