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Assessing the predictability of self-harm in a high-risk adult prisoner population: a prospective cohort study.

Mike C HortonWendy DyerAlan TennantNat M J Wright
Published in: Health & justice (2018)
Prospective self-harm was not predicted by any of the pre-existing instruments that were under consideration. Exploratory logistic regression analysis did reveal gender-specific item sets, producing predictive algorithms which were statistically significant in predicting future self-harm; however, the operational functionality of these item sets may be limited.
Keyphrases
  • machine learning
  • psychometric properties
  • genome wide
  • mental health
  • deep learning
  • current status
  • gene expression
  • single cell
  • patient reported outcomes
  • young adults
  • data analysis