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Using contributing causes of death improves prediction of opioid involvement in unclassified drug overdoses in US death records.

Andrew J BoslettAlina DenhamElaine L Hill
Published in: Addiction (Abingdon, England) (2020)
In modeling opioid involvement in unclassified drug overdoses, highest predictive accuracy is achieved using a statistical model-either logistic regression or a random forest ensemble-with decedent characteristics and contributing causes of death as predictors.
Keyphrases
  • chronic pain
  • pain management
  • climate change
  • convolutional neural network
  • machine learning