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

Andrew J Boslett Alina Denham Elaine 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