DeepMood
Author:
Affiliation:
1. Recruit Institute of Technology & Massachusetts Institute of Technology, Mountain View, CA, USA
2. Massachusetts Institute of Technology, Cambridge, MA, USA
Publisher
International World Wide Web Conferences Steering Committee
Link
https://dl.acm.org/doi/pdf/10.1145/3038912.3052676
Reference49 articles.
1. Social fMRI: Investigating and shaping social mechanisms in the real world
2. A validation study of three anxiety and depression self-assessment scales
3. Next-generation psychiatric assessment: Using smartphone sensors to monitor behavior and mental health.
4. Harnessing Context Sensing to Develop a Mobile Intervention for Depression
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1. Using Mobile Daily Mood and Anxiety Self-ratings to Predict Depression Symptom Improvement;2024 IEEE/ACM Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE);2024-06-19
2. Momentary Stressor Logging and Reflective Visualizations: Implications for Stress Management with Wearables;Proceedings of the CHI Conference on Human Factors in Computing Systems;2024-05-11
3. A neural network paradigm for modeling psychometric data and estimating IRT model parameters: Cross estimation network;Behavior Research Methods;2024-04-12
4. HelaDepDet 2.0 - A Novel Deep Learning Approach for Detecting the Severity of Human Depression on Social Media Analysis (Preprint);2023-12-05
5. A Novel Framework for Forecasting Mental Stress Levels Based on Physiological Signals;Communications in Computer and Information Science;2023-11-26
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