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

Journals

  1. Tio E, Misztal M, Felsky D. Evidence for the biopsychosocial model of suicide: a review of whole person modeling studies using machine learning. Frontiers in Psychiatry 2024;14 View
  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 View