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Public (e)Health, Digital Epidemiology and Public Health Informatics (2339) Depression and Mood Disorders; Suicide Prevention (2505) Mental Health Issues in Adolescence (779) Public Information and Campaigns on Mental Health (48) Human Factors and Environmental Health Implications (65)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/67156, first published .
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Population-Wide Depression Incidence Forecasting Comparing Autoregressive Integrated Moving Average and Vector Autoregressive Integrated Moving Average to Temporal Fusion Transformers: Longitudinal Observational Study

Population-Wide Depression Incidence Forecasting Comparing Autoregressive Integrated Moving Average and Vector Autoregressive Integrated Moving Average to Temporal Fusion Transformers: Longitudinal Observational Study

Authors of this article:

Deliang Yang1 Author Orcid Image ;   Yiyi Tang1, 2 Author Orcid Image ;   Vivien Kin Yi Chan3 Author Orcid Image ;   Qiwen Fang3 Author Orcid Image ;   Sandra Sau Man Chan4 Author Orcid Image ;   Hao Luo5 Author Orcid Image ;   Ian Chi Kei Wong3, 6, 7 Author Orcid Image ;   Huang-Tz Ou8, 9 Author Orcid Image ;   Esther Wai Yin Chan3, 10 Author Orcid Image ;   David Makram Bishai11 Author Orcid Image ;   Yingyao Chen12 Author Orcid Image ;   Martin Knapp13 Author Orcid Image ;   Mark Jit10, 14, 15, 16 Author Orcid Image ;   Dawn Craig17 Author Orcid Image ;   Xue Li1, 3, 10 Author Orcid Image
Article Authors Cited by (6) Tweetations (25) Metrics

Journals

  1. del Rey Puech P, Payne R, Saund J, McKee M. Mind the (widening) gap: why public health must engage with AI now. Public Health 2026;250:106047 View
  2. Frias M. Methodological reflections on time-series approaches to suicide trends in South Korea. Asian Journal of Psychiatry 2026;115:104774 View
  3. Hernandez-Diaz C, Vazquez B, Fuentes-Pineda G. Deep learning for multivariate time series analysis in electronic health records: a scoping review. Evolutionary Intelligence 2026;19(5) View
  4. Al-Hinai N, Al-Balushi A, Al-Shukaili S. Attention-Based Temporal Fusion Transformer for Forecasting Daily Census in Skilled Nursing Facilities Using Admission Patterns, Discharge Destinations, and Local COVID-19 Prevalence. Journal of Artificial Intelligence for Healthcare Systems 2025;4(2) View

Books/Policy Documents

  1. Butt F, Khatri C, Nighot A, Wagner M. Applied Computer Science. View

Conference Proceedings

  1. Zhang J, Chen W, Pan P. Proceedings of the 2026 5th International Conference on Cyber Security, Artificial Intelligence and Digital Economy. Entropy-Enhanced Deep Learning for Regional Economic Regime Forecasting: An LSTM-Attention Framework View