Anxiety Detection
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Benchmarks
Well-being Dataset
Most implemented
Towards Preemptive Detection of Depression and Anxiety in Twitter
Papers
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 DetectionDiagnostic