Corrigendum: Machine learning for the detection of social anxiety disorder using effective connectivity and graph theory measures (Frontiers in Psychiatry, (2023), 14, (1155812), 10.3389/fpsyt.2023.1155812)

dc.contributor.author	Al-Ezzi, Abdulhakim
dc.contributor.author	Kamel, Nidal
dc.contributor.author	Al-Shargabi, Amal A.
dc.contributor.author	Al-Shargie, Fares
dc.contributor.author	Al-Shargabi, Alaa
dc.contributor.author	Yahya, Norashikin
dc.contributor.author	Al-Hiyali, Mohammed Isam
dc.date.accessioned	2024-12-23T17:58:47Z
dc.date.available	2024-12-23T17:58:47Z
dc.date.issued	2023
dc.identifier.uri	https://vinspace.edu.vn/handle/VIN/481
dc.description.abstract	In the published article, there was an error in the Funding statement. The correct Funding and Acknowledgment statements appear below.	en_US
dc.language.iso	en	en_US
dc.subject	EEG	en_US
dc.subject	effective connectivity	en_US
dc.subject	event related potential	en_US
dc.subject	graph theory analysis	en_US
dc.subject	machine learning	en_US
dc.subject	partial directed coherence	en_US
dc.subject	social anxiety disorders	en_US
dc.subject	support vector machine	en_US
dc.title	Corrigendum: Machine learning for the detection of social anxiety disorder using effective connectivity and graph theory measures (Frontiers in Psychiatry, (2023), 14, (1155812), 10.3389/fpsyt.2023.1155812)	en_US
dc.type	Article	en_US

Nidal Kamel, PhD. [3]
College of Engineering and Computer Science; Associate Professor, Electrical Engineering program