An open dataset and machine learning algorithms for Niacin Skin-Flushing Response based screening of psychiatric disorders.

Journal: BMC psychiatry
Published Date:

Abstract

BACKGROUND: Niacin Skin-Flushing Response (NSR) has emerged as a promising objective biomarker for the precise diagnosis of mental disorders. However, its diagnostic potential has been constrained by the limitations of traditional statistical approaches. The advent of Artificial Intelligence (AI) offers a transformative opportunity to overcome these challenges. This study presents a novel contribution to the field by establishing an open-access dataset and developing advanced AI-driven tools to enhance the diagnostic accuracy of psychiatric disorders through NSR analysis.

Authors

  • Xuening Lyu
    Graduate School of Advanced Integrated Studies in Human Survivability, Kyoto University, Kyoto, Japan.
  • Rimsa Goperma
    Graduate School of Advanced Integrated Studies in Human Survivability, Kyoto University, Kyoto, Japan. rimsa78goperma@gmail.com.
  • Dandan Wang
    Department of Traditional Chinese Medicine Orthopedics and Traumatology, The Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China.
  • Chunling Wan
    Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Ministry of Education, Shanghai Jiao Tong University, Shanghai, China.
  • Liang Zhao
    Graduate School of Advanced Integrated Studies in Human Survivability (Shishu-Kan), Kyoto University, Kyoto, Japan.