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Social vulnerability predictors of drug poisoning mortality: A machine learning analysis in the United States.

Moosa TatarMohammad R FarajiKatherine KeyesFernando A WilsonMohammad S Jalali
Published in: The American journal on addictions (2023)
We identified social vulnerability features that are most predictive of drug poisoning mortality. Public health interventions and policies targeting vulnerable communities may increase the resilience of these communities and mitigate the overdose death and drug misuse crisis.
Keyphrases
  • public health
  • climate change
  • machine learning
  • healthcare
  • cardiovascular events
  • mental health
  • adverse drug
  • emergency department
  • drug induced
  • cancer therapy
  • deep learning
  • coronary artery disease
  • drug delivery