Published on in Vol 11 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/59512, first published .
Empowering Mental Health Monitoring Using a Macro-Micro Personalization Framework for Multimodal-Multitask Learning: Descriptive Study

Empowering Mental Health Monitoring Using a Macro-Micro Personalization Framework for Multimodal-Multitask Learning: Descriptive Study

Empowering Mental Health Monitoring Using a Macro-Micro Personalization Framework for Multimodal-Multitask Learning: Descriptive Study

Journals

  1. Alwan H. Develop, Design, and Evaluate a Real-Time Facial Micro-Expression Recognition Model for Mental Health Monitoring Using a Three-Dimensional Convolutional Neural Network. IEEE Access 2025;13:187602 View
  2. Prasetio B. Knowledge-guided cross-modality attention for smartphone-based stress recognition in applied health informatics. Applied Computing and Informatics 2025:1 View
  3. Chen Y, Gao Y, Yu S, Zhao C, Lu Y. Large Language Models in Mental Health: A Systematic Review of Applications, Innovations and Ethical Challenges. Journal of Industrial Integration and Management 2026:1 View

Books/Policy Documents

  1. Saleela D, Lucos R, Reji R, Joseph T, Shyna A, Chinchu M, Rasheed H, Panicker A. Information Systems for Intelligent Systems. View
  2. Saikrishna P. Bridging the Gap between Mind and Machine. View

Conference Proceedings

  1. Gkaripis N, Trichopoulos G, Caridakis G. 2025 20th International Workshop on Semantic and Social Media Adaptation and Personalization (SMAP). Sentiment Analysis and Extraction of Recommendations in Cultural and Tourism Contexts View
  2. Kumar N, Rani N, Kumar R. 2025 IEEE 7th International Conference on Computing, Communication and Automation (ICCCA). Computational Intelligence Based Classification of Neuropsychological Signals for Mental Health Monitoring View