AIMC Topic: Phobia, Social
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Developing algorithms to predict adult onset internalizing disorders: An ensemble learning approach.
Journal of psychiatric research
Dec 6, 2019
A growing literature is utilizing machine learning methods to develop psychopathology risk algorithms that can be used to inform preventive intervention. However, efforts to develop algorithms for internalizing disorder onset have been limited. The g...
Predicting Social Anxiety Treatment Outcome Based on Therapeutic Email Conversations.
IEEE journal of biomedical and health informatics
Aug 17, 2016
Predicting therapeutic outcome in the mental health domain is of utmost importance to enable therapists to provide the most effective treatment to a patient. Using information from the writings of a patient can potentially be a valuable source of inf...
Prescriptive Predictors of Mindfulness Ecological Momentary Intervention for Social Anxiety Disorder: Machine Learning Analysis of Randomized Controlled Trial Data.
JMIR mental health
May 13, 2025
BACKGROUND: Shame and stigma often prevent individuals with social anxiety disorder (SAD) from seeking and attending costly and time-intensive psychotherapies, highlighting the importance of brief, low-cost, and scalable treatments. Creating prescrip...
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