Machine learning for classification of pediatric bipolar disorder with and without psychotic symptoms based on thalamic subregional structural volume.

Abstract

Authors

• Weijia Gao
  Department of Child Psychology, The Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, National Children's Regional Medical Center, Hangzhou, Zhejiang, China.
• Kejing Zhang
  Department of Psychiatry, The First Affiliated Hospital, Zhejiang University School of Medicine, Zhejiang Key Laboratory of Precision Psychiatry, Zhejiang Engineering Center for Mathematical Mental Health, Hangzhou, Zhejiang, China.
• Qing Jiao
  State Key Laboratory of Fluid Power and Mechatronic Systems, Zhejiang University, Hangzhou 310058, People's Republic of China.
• Linyan Su
  Mental Health Institute, The Second Xiangya Hospital of Central South University, Key Laboratory of Psychiatry and Mental Health of Hunan Province, National Technology Institute of Psychiatry, Changsha, Hunan, China.
• Dong Cui
  Department of Radiology, Shandong First Medical University & Shandong Academy of Medical Sciences, Tai'an, Shandong, China.
• Shaojia Lu
  Department of Psychiatry, The First Affiliated Hospital, Zhejiang University School of Medicine, Key Laboratory of Mental Disorder's Management of Zhejiang Province, Zhejiang Engineering Center for Mathematical Mental Health, Hangzhou, Zhejiang, China. Electronic address: 1314004@zju.edu.cn.
• Rongwang Yang
  Department of Child Psychology, The Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, National Children's Regional Medical Center, Hangzhou, Zhejiang, China. colortea@zju.edu.cn.

Keywords

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