A machine learning approach for differentiating bipolar disorder type II and borderline personality disorder using electroencephalography and cognitive abnormalities.

Autor: Nazari MJ; Computer Science and Mathematics Department, Amirkabir University of Technology, Tehran, Iran., Shalbafan M; Department of Psychiatry, Psychosocial Health Research Institute (PHRI), Mental Health Research Center, School of Medicine, Iran University of Medical Sciences, Tehran, Iran.; Institute for Cognitive Sciences Studies, Brain and Cognition Clinic, Tehran, Iran., Eissazade N; Student Research Committee, School of Medicine, Iran University of Medical Sciences, Tehran, Iran., Khalilian E; Department of Psychiatry, Tehran University of Medical Sciences, Tehran, Iran., Vahabi Z; Neuropsychiatry Department, Tehran University of Medical Sciences, Tehran, Iran., Masjedi N; Department of Psychiatry, Tehran University of Medical Sciences, Tehran, Iran., Ghidary SS; Computer Science and Mathematics Department, Amirkabir University of Technology, Tehran, Iran., Saadat M; Department of Mechanical Engineering, School of Engineering, University of Birmingham, Birmingham, United Kingdom., Sadegh-Zadeh SA; Department of Computing, Staffordshire University, Stoke-on-Trent, United Kingdom.

Publikováno v: PloS one [PLoS One] 2024 Jun 21; Vol. 19 (6), pp. e0303699. Date of Electronic Publication: 2024 Jun 21 (Print Publication: 2024).