Mining FDA drug labels using an unsupervised learning technique - topic modeling

BMC Bioinformatics

Volumn 12, Issue SUPPL. 10, 2011, Pages

  Bisgin, Halil ^a   Liu, Zhichao ^b   Fang, Hong ^b   Xu, Xiaowei ^a,b   Tong, Weida ^b  

^a University of Arkansas   (United States)

^b NATIONAL CENTER FOR TOXICOLOGICAL RESEARCH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADVERSE DRUG REACTION (ADRS); BIOMEDICAL DOCUMENTS; FOOD AND DRUG ADMINISTRATION; HYPOTHESIS GENERATION; LATENT DIRICHLET ALLOCATIONS; SEMANTIC DESCRIPTIONS; STATISTICAL SIGNIFICANCE; THERAPEUTIC APPLICATION;

DATA MINING; SAFETY ENGINEERING; SEMANTICS; STATISTICS; UNSUPERVISED LEARNING;

PHARMACODYNAMICS;

DRUG;

ARTICLE; DATA MINING; DRUG LABELING; FOOD AND DRUG ADMINISTRATION; FOOD PACKAGING; HUMAN; METHODOLOGY; SEMANTICS; UNITED STATES;

DATA MINING; DRUG LABELING; FOOD LABELING; HUMANS; PHARMACEUTICAL PREPARATIONS; SEMANTICS; UNITED STATES; UNITED STATES FOOD AND DRUG ADMINISTRATION;

EID: 80054105160     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/1471-2105-12-S10-S11     Document Type: Article

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