Exploring trends of nonmedical use of prescription drugs and polydrug abuse in the Twittersphere using unsupervised machine learning

Addictive Behaviors

Volumn 65, Issue , 2017, Pages 289-295

  Kalyanam, Janani ^a   Katsuki, Takeo ^b   R G Lanckriet, Gert ^a   Mackey, Tim K ^c,d,e  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

^c University of California at San Diego   (United States)

^d UNIVERSITY OF CALIFORNIA SAN DIEGO   (United States)

^e Global Health Policy Institute   (United States)

Author keywords

Digital surveillance; Nonmedical use of prescription drugs; Prescription opioid abuse; Social media; Substance abuse; Twitter

Indexed keywords

ANALGESIC AGENT; BENZODIAZEPINE DERIVATIVE; CANNABIS; DIAZEPAM; METHYLPHENIDATE; OXYCODONE; OXYCODONE PLUS PARACETAMOL; PREDNISONE; PRESCRIPTION DRUG;

ARTICLE; DRUG SURVEILLANCE PROGRAM; HUMAN; MULTIPLE DRUG ABUSE; PRESCRIPTION; RISK FACTOR; SELF REPORT; SOCIAL MEDIA; UNSUPERVISED MACHINE LEARNING; OPIATE ADDICTION; PRESCRIPTION DRUG MISUSE; STATISTICS AND NUMERICAL DATA;

HUMANS; OPIOID-RELATED DISORDERS; PRESCRIPTION DRUG MISUSE; RISK FACTORS; SOCIAL MEDIA; UNSUPERVISED MACHINE LEARNING;

EID: 84994091888     PISSN: 03064603     EISSN: 18736327     Source Type: Journal    
DOI: 10.1016/j.addbeh.2016.08.019     Document Type: Article

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