Using contributing causes of death improves prediction of opioid involvement in unclassified drug overdoses in US death records.
Andrew J BoslettAlina DenhamElaine L HillPublished 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.