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

Prevention and Health Promotion (1362) Machine Learning (2074) School-based Health Education and Interventions (115) Mental Health Issues in Adolescence (636) Happiness (26) Cross-Sectional Studies in Public Health (430)

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 .
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

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

Authors of this article:

Roberta M Dolling-Boreham1, 2 Author Orcid Image ;   Akshay Mohan2, 3 Author Orcid Image ;   Mohamed Abdelhack2 Author Orcid Image ;   Tara Elton-Marshall4, 5 Author Orcid Image ;   Hayley A Hamilton5, 6, 7 Author Orcid Image ;   Angela Boak5 Author Orcid Image ;   Daniel Felsky2, 6, 8, 9 Author Orcid Image
Article Authors Cited by (1) Tweetations Metrics

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