lightbulbPractical problemPassive Sensing, Behavior Modeling, and Mental State Prediction
Depression diagnosis relies on subjective methods with high error rates and bias.Health, Healthcare, and Wellbeing / Passive Sensing, Behavior Modeling, and Mental State Prediction
Depression diagnosis relies on subjective methods with high error rates and bias.
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lightbulbPractical problemPassive Sensing, Behavior Modeling, and Mental State Prediction
Depression in perimenopausal women is often overlooked, leading to insufficient diagnosis and treatment.UbiComp '24Smart Rings for Early Detection of Peri-menopausal Depression: A Research Protocol
lightbulbPractical problemPassive Sensing, Behavior Modeling, and Mental State Prediction
Users struggle to plan long-term based on existing short-term mental health prediction tools.UbiComp '24A Long-Term Perspective on Planning the Future: The Effectiveness of Weekly Mental Health Prediction
lightbulbPractical problemPassive Sensing, Behavior Modeling, and Mental State Prediction
Missing behavioral data reduces accuracy in depression prediction.UbiComp '24Imputation Strategies for Longitudinal Behavioral Studies: Predicting Depression Using GLOBEM Datasets
lightbulbPractical problemPassive Sensing, Behavior Modeling, and Mental State Prediction
Depression detection models generalize poorly across datasets, limiting their practical utility.lightbulbPractical problemPassive Sensing, Behavior Modeling, and Mental State Prediction
Mental health management for nursing home residents is insufficient, and emotional fluctuations go unnoticed.UbiComp '23Predicting and Analyzing Emotion of Elderly People in Care Facilities
lightbulbPractical problemPassive Sensing, Behavior Modeling, and Mental State Prediction
Mental health assessment relies on self-report, which is prone to bias and unsuitable for everyday environments.Related papers
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