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Assessing the predictive ability of the Suicide Crisis Inventory for near-term suicidal behavior using machine learning approaches.

Neelang ParghiLakshmi ChennapragadaShira BarzilaySaskia NewkirkBrian AhmedaniBenjamin LokIgor Galynker
Published in: International journal of methods in psychiatric research (2020)
ML can be useful in analyzing data from psychometric scales, such as the SCI, and for predicting near-term suicidal behavior. However, in cases such as the current analysis where the data are highly imbalanced, the optimal method of measuring performance must be carefully considered and selected.
Keyphrases
  • depressive symptoms
  • electronic health record
  • preterm infants
  • big data
  • public health
  • gestational age
  • data analysis
  • machine learning
  • artificial intelligence