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A Machine Learning Approach to Identify Predictors of Frequent Vaping and Vulnerable Californian Youth Subgroups.

Rui FuJiamin ShiMichael O ChaitonAdam M LeventhalJennifer B UngerJessica L Barrington-Trimis
Published in: Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco (2021)
Machine learning can produce models that accurately predict progression of vaping behaviours among youth. The potential association between frequent vaping and perceived discrimination warrants more in-depth analyses to confirm if discrimination constitutes a cause of increased vaping.
Keyphrases
  • machine learning
  • mental health
  • physical activity
  • young adults
  • artificial intelligence
  • big data
  • depressive symptoms
  • social support
  • deep learning