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

Longitudinal and Cohort Studies in Public Health (404) Depression and Mood Disorders; Suicide Prevention (1664) Machine Learning (2042) Artificial Intelligence (2078)

Published on in Vol 9 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/43419, first published .
Prediction of Suicidal Behaviors in the Middle-aged Population: Machine Learning Analyses of UK Biobank

Prediction of Suicidal Behaviors in the Middle-aged Population: Machine Learning Analyses of UK Biobank

Prediction of Suicidal Behaviors in the Middle-aged Population: Machine Learning Analyses of UK Biobank

Authors of this article:

Junren Wang1, 2 Author Orcid Image ;   Jiajun Qiu1, 2 Author Orcid Image ;   Ting Zhu1, 2 Author Orcid Image ;   Yu Zeng1, 2 Author Orcid Image ;   Huazhen Yang1, 2 Author Orcid Image ;   Yanan Shang1, 2 Author Orcid Image ;   Jin Yin1, 2 Author Orcid Image ;   Yajing Sun1, 2 Author Orcid Image ;   Yuanyuan Qu1, 2 Author Orcid Image ;   Unnur A Valdimarsdóttir3, 4, 5 Author Orcid Image ;   Huan Song1, 2, 3 Author Orcid Image
Article Authors Cited by (8) Tweetations (5) Metrics

Journals

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  2. Schoene A, Garverich S, Ibrahim I, Shah S, Irving B, Dacso C. Automatically extracting social determinants of health for suicide: a narrative literature review. npj Mental Health Research 2024;3(1) View
  3. Shahsavar Y, Choudhury A, Onu J. Behavioral and social predictors of suicidal ideation and attempts among adolescents and young adults. PLOS Mental Health 2025;2(1):e0000221 View
  4. Gu Z, Liu S, Ma H, Long Y, Jiao X, Gao X, Du B, Bi X, Shi X. Estimation of Machine Learning–Based Models to Predict Dementia Risk in Patients With Atherosclerotic Cardiovascular Diseases: UK Biobank Study. JMIR Aging 2025;8:e64148 View
  5. Köse N, Gür Y, Ünal E. Deep Learning and Machine Learning Insights Into the Global Economic Drivers of the Bitcoin Price. Journal of Forecasting 2025;44(5):1666 View
  6. Ballı M, Dogan A, Senol S, Eser H. Machine learning based identification of suicidal ideation using non-suicidal predictors in a university mental health clinic. Scientific Reports 2025;15(1) View
  7. Spittal M, Guo X, Kang L, Kirtley O, Clapperton A, Hawton K, Kapur N, Pirkis J, Carter G, Tsai A. Machine learning algorithms and their predictive accuracy for suicide and self-harm: Systematic review and meta-analysis. PLOS Medicine 2025;22(9):e1004581 View
  8. Zhao Z, Xie M, Tao S, Lv Q, Zhang J, Cai J, Liu Y, Huang Y, Liu S, Wu Y, Wang Q. Metabolic syndrome increases the risk of suicide attempt: evidence from a population-based cohort and genomic analysis. Translational Psychiatry 2025;15(1) View