Digital phenotyping of generalized anxiety disorder: using artificial intelligence to accurately predict symptom severity using wearable sensors in daily life

BACKGROUND: Generalized anxiety disorder (GAD) is a highly prevalent condition. Monitoring GAD symptoms requires substantial time, effort, and cost. The development of digital phenotypes of GAD may enable new scalable, timely, and inexpensive assessments of GAD symptoms. METHOD: The current study us...

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Detalles Bibliográficos
Autores principales: Jacobson, Nicholas C., Feng, Brandon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9385727/
https://www.ncbi.nlm.nih.gov/pubmed/35977932
http://dx.doi.org/10.1038/s41398-022-02038-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9385727/
https://www.ncbi.nlm.nih.gov/pubmed/35977932
http://dx.doi.org/10.1038/s41398-022-02038-1

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