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Published on in Vol 10 (2024)

This is a member publication of University of Toronto

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/48705, first published .
Three diverse elementary students collaborating on a school project

Identifying Psychosocial and Ecological Determinants of Enthusiasm In Youth: Integrative Cross-Sectional Analysis Using Machine Learning

Identifying Psychosocial and Ecological Determinants of Enthusiasm In Youth: Integrative Cross-Sectional Analysis Using Machine Learning

Journals

  1. Huang X, Li X. The impact of college students' body mass index on subjective well-being: The mediating role of self-rated health. Acta Psychologica 2026;263:106370 View
  2. Song H, Tian C, Ye X, Li Q, Gan J, Zheng J, Miao D. A multiscale geospatial analysis integrating explainable machine learning to characterize spatial disparities in melanoma mortality associated with environmental justice and healthcare access in the contiguous United States. Frontiers in Public Health 2026;14 View

Books/Policy Documents

  1. Han W, Yang Z, Wang C, Zhu Q, Li Z, Sun L, Zhang H, Shi J. Intelligent Theory and Application for Sustainable Society. View