Published on in Vol 11 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/37469, first published .
Smartphone-Tracked Digital Markers of Momentary Subjective Stress in College Students: Idiographic Machine Learning Analysis

Smartphone-Tracked Digital Markers of Momentary Subjective Stress in College Students: Idiographic Machine Learning Analysis

Smartphone-Tracked Digital Markers of Momentary Subjective Stress in College Students: Idiographic Machine Learning Analysis

Journals

  1. Wang X, Oussalah M, Niemilä M, Ristikari T, Virtanen P. Towards AI-governance in psychosocial care: A systematic literature review analysis. Journal of Open Innovation: Technology, Market, and Complexity 2023;9(4):100157 View
  2. Ruotsalainen P, Blobel B. Future pHealth Ecosystem-Holistic View on Privacy and Trust. Journal of Personalized Medicine 2023;13(7):1048 View
  3. Ali D, Hassan R, Othman H, Taha H, Mousavi Khaneghah A, Smaoui S. Revolutionizing detection: Smartphone-powered colorimetry for the drugs and food analysis. Microchemical Journal 2024;205:111228 View
  4. dos Santos M, Heckler W, Bavaresco R, Barbosa J. Machine learning applied to digital phenotyping: A systematic literature review and taxonomy. Computers in Human Behavior 2024;161:108422 View

Books/Policy Documents

  1. Sjöberg J, Bergdahl N, Sjödén B, Nouri J. Design, Learning, and Innovation. View