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Machine learning applications in tobacco research: a scoping review.

Rui FuAnasua KunduNicholas MitsakakisTara Elton-MarshallWei WangSean HillSusan J BondyHayley HamiltonPeter L SelbyRobert SchwartzMichael Oliver Chaiton
Published in: Tobacco control (2021)
ML represents a powerful tool that could advance the research and policy decision-making of tobacco control. Further opportunities should be explored.
Keyphrases
  • machine learning
  • decision making
  • public health
  • healthcare
  • mental health