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

Junren WangJia-Jun QiuTing ZhuYu ZengHuazhen YangYanan ShangJin YinYajing SunYuanyuan QuUnnur Anna ValdimarsdottirHuan Song
Published in: JMIR public health and surveillance (2023)
We established applicable machine learning-based models for predicting both the short- and long-term risk of suicidality with high accuracy across populations of varying genetic risk for suicide, highlighting a cost-effective method of identifying individuals with a high risk of suicidality.
Keyphrases
  • machine learning
  • middle aged
  • artificial intelligence
  • depressive symptoms
  • deep learning
  • cross sectional
  • gene expression
  • copy number
  • dna methylation
  • genetic diversity