AIMC Topic: Anxiety Disorders

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Prediction of anxiety disorders using a feature ensemble based bayesian neural network.

Journal of biomedical informatics Oct 8, 2021
Anxiety disorders are common among youth, posing risks to physical and mental health development. Early screening can help identify such disorders and pave the way for preventative treatment. To this end, the Youth Online Diagnostic Assessment (YODA)...
Anxiety Disorders Adolescent Bayes Theorem Self Report Humans Neural Networks, Computer Mental Health
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Evaluation of Effect of Curcumin on Psychological State of Patients with Pulmonary Hypertension by Magnetic Resonance Image under Deep Learning.

Contrast media & molecular imaging Jul 26, 2021
This research aimed to evaluate the right ventricular segmentation ability of magnetic resonance imaging (MRI) images based on deep learning and evaluate the influence of curcumin (Cur) on the psychological state of patients with pulmonary hypertensi...
Curcumin Hypertension, Pulmonary Depressive Disorder Humans Adolescent Neural Networks, Computer Follow-Up Studies Magnetic Resonance Imaging Anti-Inflammatory Agents, Non-Steroidal Young Adult Anxiety Disorders Adult Case-Control Studies Male Deep Learning Algorithms Middle Aged Female Aged
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Exploring Factors for Predicting Anxiety Disorders of the Elderly Living Alone in South Korea Using Interpretable Machine Learning: A Population-Based Study.

International journal of environmental research and public health Jul 18, 2021
This epidemiological study aimed to develop an X-AI that could explain groups with a high anxiety disorder risk in old age. To achieve this objective, (1) this study explored the predictors of senile anxiety using base models and meta models. (2) Thi...
Female Aged Male Anxiety Disorders Machine Learning Algorithms Republic of Korea Support Vector Machine Humans
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Personalized machine learning of depressed mood using wearables.

Translational psychiatry Jun 9, 2021
Depression is a multifaceted illness with large interindividual variability in clinical response to treatment. In the era of digital medicine and precision therapeutics, new personalized treatment approaches are warranted for depression. Here, we use...
Humans Machine Learning Exercise Anxiety Disorders Wearable Electronic Devices Ecological Momentary Assessment
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Understanding importance of clinical biomarkers for diagnosis of anxiety disorders using machine learning models.

PloS one May 10, 2021
Anxiety disorders are a group of mental illnesses that cause constant and overwhelming feelings of anxiety and fear. Excessive anxiety can make an individual avoid work, school, family get-togethers, and other social situations that in turn might amp...
Humans Machine Learning Databases, Factual Biomarkers Anxiety Disorders Agoraphobia Female Phobia, Social Male Netherlands Middle Aged Panic Disorder
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Reducing negative emotions in children using social robots: systematic review.

Archives of disease in childhood Mar 8, 2021
BACKGROUND: For many children, visiting the hospital can lead to a state of increased anxiety. Social robots are being explored as a possible tool to reduce anxiety and distress in children attending a clinical or hospital environment. Social robots ...
Female Infant, Newborn Male Infant Humans Child Observational Studies as Topic Randomized Controlled Trials as Topic Robotics Anxiety Disorders Adolescent Child, Preschool Social Interaction Expressed Emotion Hostility Psychological Distress Evaluation Studies as Topic Outcome Assessment, Health Care Ambulatory Care
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Predicting the 9-year course of mood and anxiety disorders with automated machine learning: A comparison between auto-sklearn, naïve Bayes classifier, and traditional logistic regression.

Psychiatry research Feb 24, 2021
BACKGROUND: Predicting the onset and course of mood and anxiety disorders is of clinical importance but remains difficult. We compared the predictive performances of traditional logistic regression, basic probabilistic machine learning (ML) methods, ...
Logistic Models Bayes Theorem Humans Machine Learning Female Adult Anxiety Anxiety Disorders
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Modeling anxiety and fear of COVID-19 using machine learning in a sample of Chinese adults: associations with psychopathology, sociodemographic, and exposure variables.

Anxiety, stress, and coping Jan 26, 2021
OBJECTIVES: Research during prior virus outbreaks has examined vulnerability factors associated with increased anxiety and fear.
Mass Media Surveys and Questionnaires Socioeconomic Factors Models, Statistical Fear Male Anxiety Disorders China Humans Machine Learning COVID-19 Female SARS-CoV-2 Adult Cross-Sectional Studies
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Deep learning paired with wearable passive sensing data predicts deterioration in anxiety disorder symptoms across 17-18 years.

Journal of affective disorders Dec 27, 2020
BACKGROUND: Recent studies have demonstrated that passive smartphone and wearable sensor data collected throughout daily life can predict anxiety symptoms cross-sectionally. However, to date, no research has demonstrated the capacity for these digita...
Longitudinal Studies Panic Disorder Anxiety Disorders Deep Learning Wearable Electronic Devices Humans
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Using Artificial Intelligence to Predict Change in Depression and Anxiety Symptoms in a Digital Intervention: Evidence from a Transdiagnostic Randomized Controlled Trial.

Psychiatry research Nov 29, 2020
While digital psychiatric interventions reduce treatment barriers, not all persons benefit from this type of treatment. Research is needed to preemptively identify who is likely to benefit from these digital treatments in order to redirect those peop...
Depressive Disorder, Major Predictive Value of Tests Young Adult Anxiety Disorders Evidence-Based Medicine Humans Adult Follow-Up Studies Therapy, Computer-Assisted Artificial Intelligence Male Female Middle Aged
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