Text mining for identifying topics in the literatures about adolescent substance use and depression

BMC Public Health

Volumn 16, Issue 1, 2016, Pages

  Wang, Shi Heng ^a,b   Ding, Yijun ^a   Zhao, Weizhong ^a   Huang, Yung Hsiang ^c   Perkins, Roger ^a   Zou, Wen ^a   Chen, James J ^a  

^a NATIONAL CENTER FOR TOXICOLOGICAL RESEARCH   (United States)

^b CHINA MEDICAL UNIVERSITY   (Taiwan)

^c NATIONAL CENTER FOR HIGH PERFORMANCE COMPUTING   (Taiwan)

Author keywords

Adolescent; Depression; Substance use; Text mining; Topic model

Indexed keywords

ADOLESCENT; BRAIN; FAMILY; FAMILY STUDY; HUMAN; LINGUISTICS; MEDLINE; MINING; MODEL; RISK FACTOR; SUBSTANCE USE; SYSTEMATIC REVIEW; VIOLENCE; ADOLESCENT BEHAVIOR; DATA MINING; DEPRESSION; PROCEDURES; SUBSTANCE-RELATED DISORDERS;

ADOLESCENT; ADOLESCENT BEHAVIOR; DATA MINING; DEPRESSION; HUMANS; SUBSTANCE-RELATED DISORDERS;

EID: 84961201916     PISSN: None     EISSN: 14712458     Source Type: Journal    
DOI: 10.1186/s12889-016-2932-1     Document Type: Article

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