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Development of a machine learning algorithm for early detection of opioid use disorder.

Zvi SegalKira RadinskyGuy EladGal MaromMoran BeladevMaor LewisBar EhrenbergPlia GillisLiat KornGideon Koren
Published in: Pharmacology research & perspectives (2021)
The new algorithm offers a mean 14.4 months reduction in time to diagnosis of OUD, at potential saving in further morbidity, medical cost, addictions and mortality.
Keyphrases
  • machine learning
  • deep learning
  • artificial intelligence
  • big data
  • healthcare
  • cardiovascular events
  • risk factors
  • type diabetes
  • cardiovascular disease
  • risk assessment
  • climate change