Identification of Social Anxiety in High School: A Machine Learning Approaches to Real-Time Analysis of Student Characteristics
Author:
Affiliation:
1. Department of Data Science and Business Systems, School of Computing, SRM Institute of Science and Technology, Kattankulathur, Chennai, India
Funder
Full-Time Ph.D.—IT/IT Enabled Services through the Ministry of Electronics and Information Technology, Government of India, initiated “Visvesvaraya Ph.D. Scheme for Electronics and IT.”
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx8/6287639/10380310/10542951.pdf?arnumber=10542951
Reference47 articles.
1. Social phobia: overview of community surveys
2. Development and validation of measures of social phobia scrutiny fear and social interaction anxiety11Editor’s note: This article was written before the development of some contemporary measures of social phobia, such as the Social Phobia and Anxiety Inventory (Turner et al., 1989). We have invited this article for publication because of the growing interest in the scales described therein. S.T.
3. Social Anxiety and Social Anxiety Disorder
4. Predicting long-term outcome of Internet-delivered cognitive behavior therapy for social anxiety disorder using fMRI and support vector machine learning
5. Self-report questionnaires, behavioral assessment tasks, and an implicit behavior measure: do they predict social anxiety in everyday life?
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3.人才评估人才评估
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