Mobile phone sensors and supervised machine learning to identify alcohol use events in young adults: Implications for just-in-time adaptive interventions.
CONCLUSIONS: Preliminary evidence suggests that sensor data captured from mobile phones of young adults is useful in building accurate models to detect periods of high-risk drinking. Interventions using mobile phone sensor features could trigger delivery of a range of interventions to potentially improve effectiveness.
PMID: 29217132 [PubMed - as supplied by publisher]
Source: Addictive Behaviors - Category: Addiction Authors: Bae S, Chung T, Ferreira D, Dey AK, Suffoletto B Tags: Addict Behav Source Type: research
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