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

Formative Evaluation of Digital Health Interventions (5513) Clinical Information and Decision Making (3985) Depression and Mood Disorders; Suicide Prevention (2560) Longitudinal and Cohort Studies in Public Health (965) Machine Learning (3404) Mental Health Issues in Elderly Patients and Geriatric Psychiatry (332)

Published on in Vol 10 (2026)

This is a member publication of University of Surrey (Jisc)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/84744, first published .
Elderly woman frowning while looking at phone in bedroom

Prediction of Clinically Significant Depressive Symptoms at 2-Year Follow-Up in Older Adults: Machine Learning Study Using the English Longitudinal Study of Ageing

Prediction of Clinically Significant Depressive Symptoms at 2-Year Follow-Up in Older Adults: Machine Learning Study Using the English Longitudinal Study of Ageing

Authors of this article:

Bahar Khorram1 Author Orcid Image ;   Ramin Nilforooshan2, 3, 4 Author Orcid Image ;   Payam Barnaghi4, 5, 6 Author Orcid Image ;   Samaneh Kouchaki1, 4 Author Orcid Image
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Journals

  1. Zhu X, Li J, Zhao Y, He J, Zhang X, Chen N, Wang H, Wang L, Qiao G, Gao X. Technophobia and Psychosocial Correlates of Depressive Symptoms in Older Adults: Machine Learning and Network Analysis. Clinical Gerontologist 2026:1 View