Litcius/Paper detail

Using machine learning to identify predictors of imminent drinking and create tailored messages for at-risk drinkers experiencing homelessness

Scott T. Walters, Michael S. Businelle, Robert Suchting, Xiaoyin Li, Emily T. Hébert, Eun‐Young Mun

2021Journal of Substance Abuse Treatment33 citationsDOIOpen Access PDF

Topics & Concepts

FeelingBrief interventionPopulationIntervention (counseling)Alcohol use disorderMoodMedicineSuicide preventionPsychiatryInjury preventionYoung adultEnvironmental healthPsychologyPoison controlClinical psychologyAlcoholGerontologySocial psychologyBiochemistryChemistryHomelessness and Social IssuesSubstance Abuse Treatment and OutcomesUrban, Neighborhood, and Segregation Studies
Using machine learning to identify predictors of imminent drinking and create tailored messages for at-risk drinkers experiencing homelessness | Litcius