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

INTRODUCTION: The early diagnosis and classification of social anxiety disorder (SAD) are crucial clinical support tasks for medical practitioners in designing patient treatment programs to better supervise the progression and development of SAD. This paper proposes an effective method to classify t...

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Detalles Bibliográficos
Autores principales: Al-Ezzi, Abdulhakim, Kamel, Nidal, Al-Shargabi, Amal A., Al-Shargie, Fares, Al-Shargabi, Alaa, Yahya, Norashikin, Al-Hiyali, Mohammed Isam
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Psychiatry
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10226190/
https://www.ncbi.nlm.nih.gov/pubmed/37255678
http://dx.doi.org/10.3389/fpsyt.2023.1155812

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10226190/
https://www.ncbi.nlm.nih.gov/pubmed/37255678
http://dx.doi.org/10.3389/fpsyt.2023.1155812

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