Mobile phone sensors and supervised machine learning to identify alcohol use events in young adults: implications for just-in-time adaptive interventions - Bae S, Chung T, Ferreira D, Dey AK, Suffoletto B.

BACKGROUND: Real-time detection of drinking could improve timely delivery of interventions aimed at reducing alcohol consumption and alcohol-related injury, but existing detection methods are burdensome or impractical. OBJECTIVE: To evaluate whethe...
Source: SafetyLit - Category: International Medicine & Public Health Tags: Age: Adolescents Source Type: news