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Alaa Al-Shargabi

Biographic Data

ID7978178
NAMEAlaa Al-Shargabi
GIVEN NAMESAlaa
FAMILY NAMEAl-Shargabi
SIGNATUREAL-SHARGABI A
AFFILIATIONSQassim University
VERIFIEDNo
TOTAL WORKS1
TOTAL CITATIONS0
WORKS AS AUTHOR1
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2023
LATEST PUBLICATION YEAR2023
H-INDEX0
  • Machine learning for the detection of social anxiety disorder using effective connectivity and graph theory measures

    Open Access•Abdulhakim Al‐Ezzi, Abdulhakim Al-Ezzi et al.•ARTICLE•Frontiers in Psychiatry•2023

    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 the severity of SAD into different grading (severe, moderate, mild, and control) by using the patterns of brain information flow with their correspondin…

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

    Open Access•Abdulhakim Al‐Ezzi, Abdulhakim Al-Ezzi et al.•ARTICLE•Frontiers in Psychiatry•2023

    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 the severity of SAD into different grading (severe, moderate, mild, and control) by using the patterns of brain information flow with their correspondin…

Anxiety (1 work) · Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (1 work) · Artificial Intelligence (1 work) · Cognitive psychology (1 work) · Computer Science (1 work) · Electroencephalography (1 work) · Functional Brain Connectivity Studies (1 work) · Functional connectivity (1 work) · Graph (1 work) · Graph theory (1 work)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae