Corrigendum: Machine learning for the detection of social anxiety disorder using effective connectivity and graph theory measures

Frontiers in Psychiatry

Psychiatry

Norashikin Yahya¹  Abdulhakim Al-Ezzi¹  Mohammed Isam Al-Hiyali¹  Nidal Kamel²  Amal A. Al-Shargabi³  Alaa Al-Shargabi⁴  Fares Al-Shargie⁵ 

[1] Centre for Intelligent Signal & Imaging Research (CISIR), Electrical and Electronic Engineering Department, Universiti Teknologi PETRONAS, Bandar Seri Iskandar, Perak, Malaysia;College of Engineering and Computer Science, VinUniversity, Hanoi, Vietnam;Department of Information Technology, College of Computer, Qassim University, Buraydah, Saudi Arabia;Department of Information Technology, Universiti Teknlogi Malaysia, Skudai, Malaysia;Faculty of Engineering, Abu Dhabi University, Abu Dhabi, United Arab Emirates;

关键词: EEG;    graph theory analysis;    social anxiety disorders;    machine learning;    effective connectivity;    partial directed coherence;    support vector machine;    event related potential;   

DOI  :  10.3389/fpsyt.2023.1257713

 received in 2023-07-12, accepted in 2023-07-13,  发布年份 2023

来源: Frontiers

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