Machine learning applications in tobacco research: a scoping review.
Rui FuAnasua KunduNicholas MitsakakisTara Elton-MarshallWei WangSean HillSusan J BondyHayley HamiltonPeter L SelbyRobert SchwartzMichael Oliver ChaitonPublished 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.