This paper is in the following e-collection/theme issue:

Innovations in Mental Health Systems (493) Digital Biomarkers and Digital Phenotyping (296) Wearable Devices and Sensors (1161) Mobile Health in Psychiatry (537) Mobile Health (mhealth) (3509)

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

Authors of this article:

Meishu Song1 Author Orcid Image ;   Zijiang Yang1 Author Orcid Image ;   Andreas Triantafyllopoulos2 Author Orcid Image ;   Zixing Zhang3 Author Orcid Image ;   Zhe Nan4 Author Orcid Image ;   Muxuan Tang1 Author Orcid Image ;   Hiroki Takeuchi1 Author Orcid Image ;   Toru Nakamura5 Author Orcid Image ;   Akifumi Kishi1 Author Orcid Image ;   Tetsuro Ishizawa1 Author Orcid Image ;   Kazuhiro Yoshiuchi1 Author Orcid Image ;   Björn Schuller6 Author Orcid Image ;   Yoshiharu Yamamoto1 Author Orcid Image
Article Authors Cited by (4) Tweetations Metrics

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

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