Papers Anxiety Detection
“Anxiety Detection” 태그가 달린 논문 15편 · 필터 해제
Early Linguistic Pattern of Anxiety from Social Media Using Interpretable Linguistic Features: A Multi-Faceted Validation Study with Author-Disjoint Evaluation
Anxiety affects hundreds of millions of individuals globally, yet large-scale screening remains limited. Social media language provides an opportunity for scalable detection, but current models often lack interpretabilit…
Anxiety DetectionHCFSLN: Adaptive Hyperbolic Few-Shot Learning for Multimodal Anxiety Detection
Anxiety disorders impact millions globally, yet traditional diagnosis relies on clinical interviews, while machine learning models struggle with overfitting due to limited data. Large-scale data collection remains costly…
Few-Shot LearningAnxiety DetectionWatchAnxiety: A Transfer Learning Approach for State Anxiety Prediction from Smartwatch Data
Social anxiety is a common mental health condition linked to significant challenges in academic, social, and occupational functioning. A core feature is elevated momentary (state) anxiety in social situations, yet little…
Transfer LearningAnxiety DetectionAre Anxiety Detection Models Generalizable? A Cross-Activity and Cross-Population Study Using Wearables
Anxiety-provoking activities, such as public speaking, can trigger heightened anxiety responses in individuals with anxiety disorders. Recent research suggests that physiological signals, including electrocardiogram (ECG…
Anxiety DetectionUncertainty-aware abstention in medical diagnosis based on medical texts
This study addresses the critical issue of reliability for AI-assisted medical diagnosis. We focus on the selection prediction approach that allows the diagnosis system to abstain from providing the decision if it is not…
Anxiety DetectionMedical Code PredictionMedical DiagnosisMortality Prediction+3A Data-Centric Approach to Detecting and Mitigating Demographic Bias in Pediatric Mental Health Text: A Case Study in Anxiety Detection
Introduction: Healthcare AI models often inherit biases from their training data. While efforts have primarily targeted bias in structured data, mental health heavily depends on unstructured data. This study aims to dete…
Anxiety DetectionDiagnosticBeyond Questionnaires: Video Analysis for Social Anxiety Detection
Social Anxiety Disorder (SAD) significantly impacts individuals' daily lives and relationships. The conventional methods for SAD detection involve physical consultations and self-reported questionnaires, but they have li…
Anxiety DetectionDEPAC: a Corpus for Depression and Anxiety Detection from Speech
Mental distress like depression and anxiety contribute to the largest proportion of the global burden of diseases. Automated diagnosis systems of such disorders, empowered by recent innovations in Artificial Intelligence…
Anxiety DetectionComparative Study on the Effects of Noise in ML-Based Anxiety Detection
Wearable health devices are ushering in a new age of continuous and noninvasive remote monitoring. One application of this technology is in anxiety detection. Many advancements in anxiety detection have happened in contr…
Anxiety DetectionPersonalized State Anxiety Detection: An Empirical Study with Linguistic Biomarkers and A Machine Learning Pipeline
Individuals high in social anxiety symptoms often exhibit elevated state anxiety in social situations. Research has shown it is possible to detect state anxiety by leveraging digital biomarkers and machine learning techn…
Anxiety DetectionMulti-modal deep learning system for depression and anxiety detection
Traditional screening practices for anxiety and depression pose an impediment to monitoring and treating these conditions effectively. However, recent advances in NLP and speech modelling allow textual, acoustic, and han…
Anxiety DetectionDeep LearningMachine Learning Based Anxiety Detection in Older Adults using Wristband Sensors and Context Feature
This paper explores a novel method for anxiety detection in older adults using simple wristband sensors such as Electrodermal Activity (EDA) and Photoplethysmogram (PPG) and a context-based feature. The proposed method f…
Anxiety DetectionBIG-bench Machine LearningTowards Preemptive Detection of Depression and Anxiety in Twitter
Depression and anxiety are psychiatric disorders that are observed in many areas of everyday life. For example, these disorders manifest themselves somewhat frequently in texts written by nondiagnosed users in social med…
Anxiety DetectionLooking At The Body: Automatic Analysis of Body Gestures and Self-Adaptors in Psychological Distress
Psychological distress is a significant and growing issue in society. Automatic detection, assessment, and analysis of such distress is an active area of research. Compared to modalities such as face, head, and vocal, re…
Anxiety DetectionDepression DetectionPose EstimationDASPS: A Database for Anxious States based on a Psychological Stimulation
Anxiety affects human capabilities and behavior as much as it affects productivity and quality of life. It can be considered as the main cause of depression and suicide. Anxious states are easily detectable by humans due…
Anxiety DetectionEEGElectroencephalogram (EEG)