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Prediction of Smoking Risk From Repeated Sampling of Environmental Images: Model Validation.

Matthew M EngelhardJoshua D'ArcyJason A OliverRachel KozinkF Joseph McClernon
Published in: Journal of medical Internet research (2021)
Images of daily environments can be used to effectively predict smoking risk. Model personalization, achieved by incorporating information about daily smoking habits and training on participant-specific images, further improves prediction performance. Environment-associated smoking risk can be assessed in real time on a mobile device and can be incorporated into device-based smoking cessation interventions.
Keyphrases
  • healthcare
  • smoking cessation
  • deep learning
  • replacement therapy
  • convolutional neural network
  • physical activity
  • optical coherence tomography
  • machine learning
  • risk assessment
  • virtual reality
  • breast cancer risk