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Machine Learning for Predicting Risk of Early Dropout in a Recovery Program for Opioid Use Disorder.

Assaf GottliebAndrea YatscoChristine Bakos-BlockJames R LangabeerTiffany Champagne-Langabeer
Published 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.
Keyphrases
  • machine learning
  • big data
  • public health
  • quality improvement
  • artificial intelligence
  • electronic health record
  • deep learning