Machine learning-based assessment of morphometric abnormalities distinguishes bipolar disorder and major depressive disorder.

Abstract

Authors

• Kewei He
  College of Medical Informatics, Chongqing Medical University, Chongqing, 400016, China.
• Jingbo Zhang
  School of Information Science and Technology, Northeast Normal University, Changchun 130117, China.
• Yang Huang
  School of Computer and Electronic Information, Nanjing Normal University, Nanjing 210023, China.
• Xue Mo
  Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China.
• Renqiang Yu
  Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China.
• Jing Min
  College of Medical Informatics, Chongqing Medical University, Chongqing, 400016, China.
• Tong Zhu
• Yunfeng Ma
  College of Medical Informatics, Chongqing Medical University, Chongqing, 400016, China.
• Xiangqian He
  College of Medical Informatics, Chongqing Medical University, Chongqing, China.
• Fajin Lv
  Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
• Jianguang Zeng
  School of Economics and Business Administration, Chongqing University, Chongqing, 400044, China.
• Chao Li
  McGill University Health Centre, McGill Adult Unit for Congenital Heart Disease Excellence, Montreal, Québec, Canada.
• Robert K McNamara
  Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati College of Medicine, Cincinnati, OH, 45219, USA.
• Du Lei
  Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, China.
• Mengqi Liu
  Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.

Keywords

External Resources