Personalized State Anxiety Detection: An Empirical Study with Linguistic Biomarkers and A Machine Learning Pipeline-Reference-Cited by-同舟云学术

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Personalized State Anxiety Detection: An Empirical Study with Linguistic Biomarkers and A Machine Learning Pipeline

Published:2023-07-24 Issue: Volume: Page:
ISSN:
Container-title:2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
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Author:

Wang Zhiyuan¹,Tang Mingyue¹,Larrazabal Maria A.²,Toner Emma R.²,Rucker Mark¹,Wu Congyu³,Teachman Bethany A.²,Boukhechba Mehdi¹,Barnes Laura E.¹

Affiliation:

1. University of Virginia,Department of Systems and Information Engineering,Charlottesville,VA,USA

2. University of Virginia,Department of Psychology,Charlottesville,VA,USA

3. Binghamton University,College of Engineering and Applied Science,Department of Systems Science and Industrial Engineering,Vestal,NY,USA

Funder

National Institutes of Health

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10339936/10339939/10341015.pdf?arnumber=10341015

Reference22 articles.

1. Twelve-month and lifetime prevalence and lifetime morbid risk of anxiety and mood disorders in the United States

2. Cognitive Factors that Maintain Social Anxiety Disorder: a Comprehensive Model and its Treatment Implications

3. The Epidemiology of Social Anxiety Disorder in the United States

4. Failure and Delay in Initial Treatment Contact After First Onset of Mental Disorders in the National Comorbidity Survey Replication

5. Just-in-Time Adaptive Interventions (JITAIs) in Mobile Health: Key Components and Design Principles for Ongoing Health Behavior Support

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Anxiety in young people: Analysis from a machine learning model;Acta Psychologica;2024-08

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