Machine Learning for Predicting Risk of Early Dropout in a Recovery Program for Opioid Use Disorder.
Assaf GottliebAndrea YatscoChristine Bakos-BlockJames R LangabeerTiffany Champagne-LangabeerPublished in: Healthcare (Basel, Switzerland) (2022)
Our informatics approach provides insight into an area where programs may allocate additional resources in order to retain high-risk individuals and increase the chances of success in recovery.