Wearable Artificial Intelligence for Detecting Anxiety: Systematic Review and Meta-Analysis

BACKGROUND: Anxiety disorders rank among the most prevalent mental disorders worldwide. Anxiety symptoms are typically evaluated using self-assessment surveys or interview-based assessment methods conducted by clinicians, which can be subjective, time-consuming, and challenging to repeat. Therefore,...

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Detalles Bibliográficos
Autores principales: Abd-alrazaq, Alaa, AlSaad, Rawan, Harfouche, Manale, Aziz, Sarah, Ahmed, Arfan, Damseh, Rafat, Sheikh, Javaid
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2023
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10666012/
https://www.ncbi.nlm.nih.gov/pubmed/37938883
http://dx.doi.org/10.2196/48754

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10666012/
https://www.ncbi.nlm.nih.gov/pubmed/37938883
http://dx.doi.org/10.2196/48754

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