AIMC Topic: Phobic Disorders
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Development and validation of a risk prediction model for kinesiophobia in postoperative lung cancer patients: an interpretable machine learning algorithm study.
Scientific reports
Jun 3, 2025
Kinesiophobia is particularly common in postoperative lung cancer patients, which causes patients may be reluctant to cough and move due to misperception, internal fear or fear of pain, and avoid rehabilitation training affecting postoperative recove...
The phobic brain: Morphometric features correctly classify individuals with small animal phobia.
Psychophysiology
Oct 28, 2024
Specific phobia represents an anxiety disorder category characterized by intense fear generated by specific stimuli. Among specific phobias, small animal phobia (SAP) denotes a particular condition that has been poorly investigated in the neuroscient...
Individual-Level Prediction of Exposure Therapy Outcome Using Structural and Functional MRI Data in Spider Phobia: A Machine-Learning Study.
Depression and anxiety
Aug 22, 2023
Machine-learning prediction studies have shown potential to inform treatment stratification, but recent efforts to predict psychotherapy outcomes with clinical routine data have only resulted in moderate prediction accuracies. Neuroimaging data showe...
A wearable soft robot that can alleviate the pain and fear of the wearer.
Scientific reports
Oct 17, 2022
Social soft robotics may provide a new solution for alleviating human pain and fear. Here, we introduce a hand-held soft robot that can be clenched by the wearer. The robot comprises small airbags that can be inflated to provide the wearer with a fee...
On-line anxiety level detection from biosignals: Machine learning based on a randomized controlled trial with spider-fearful individuals.
PloS one
Jun 23, 2020
We present performance results concerning the validation for anxiety level detection based on trained mathematical models using supervised machine learning techniques. The model training is based on biosignals acquired in a randomized controlled tria...
An Investigation of Various Machine and Deep Learning Techniques Applied in Automatic Fear Level Detection and Acrophobia Virtual Therapy.
Sensors (Basel, Switzerland)
Jan 15, 2020
In this paper, we investigate various machine learning classifiers used in our Virtual Reality (VR) system for treating acrophobia. The system automatically estimates fear level based on multimodal sensory data and a self-reported emotion assessment....
Diagnostic Prediction for Social Anxiety Disorder via Multivariate Pattern Analysis of the Regional Homogeneity.
BioMed research international
Jun 9, 2015
Although decades of efforts have been spent studying the pathogenesis of social anxiety disorder (SAD), there are still no objective biological markers that could be reliably used to identify individuals with SAD. Studies using multivariate pattern a...
Diagnostic classification of specific phobia subtypes using structural MRI data: a machine-learning approach.
Journal of neural transmission (Vienna, Austria : 1996)
Jul 19, 2014
While neuroimaging research has advanced our knowledge about fear circuitry dysfunctions in anxiety disorders, findings based on diagnostic groups do not translate into diagnostic value for the individual patient. Machine-learning generates predictiv...
[Effects of acupoint specificity on claustrophobia].
Zhongguo zhen jiu = Chinese acupuncture & moxibustion
Sep 12, 2018
OBJECTIVE: To observe the effectiveness of acupuncture on claustrophobia, and to explore the effects of acupoint specificity on claustrophobia.
Brief Report: A Pilot Summer Robotics Camp to Reduce Social Anxiety and Improve Social/Vocational Skills in Adolescents with ASD.
Journal of autism and developmental disorders
Dec 1, 2015
This pilot study evaluated a novel intervention designed to reduce social anxiety and improve social/vocational skills for adolescents with autism spectrum disorder (ASD). The intervention utilized a shared interest in robotics among participants to ...
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