Portable automatic text classification for adverse drug reaction detection via multi-corpus training

Journal of Biomedical Informatics

Volumn 53, Issue , 2015, Pages 196-207

  Sarker, Abeed ^a   Gonzalez, Graciela ^a  

^a ARIZONA STATE UNIVERSITY   (United States)

Author keywords

Adverse drug reaction; Natural language processing; Pharmacovigilance; Social media monitoring; Text classification

Indexed keywords

INFORMATION FILTERING; LEARNING ALGORITHMS; MACHINE LEARNING; NATURAL LANGUAGE PROCESSING SYSTEMS; PHARMACODYNAMICS; SEMANTICS; SOCIAL NETWORKING (ONLINE); TEXT PROCESSING;

ADVERSE DRUG REACTIONS; NATURAL LANGUAGE PROCESSING; PHARMACOVIGILANCE; SOCIAL MEDIA MONITORING; TEXT CLASSIFICATION;

CLASSIFICATION (OF INFORMATION);

ACCURACY; ADVERSE DRUG REACTION; ANALYTICAL ERROR; ARTICLE; AUTOMATION; CLASSIFICATION; CLASSIFICATION ALGORITHM; CLASSIFIER; DRUG SURVEILLANCE PROGRAM; INTERNET; LEARNING ALGORITHM; MACHINE LEARNING; NATURAL LANGUAGE PROCESSING; PORTABLE AUTOMATIC TEXT CLASSIFICATION; PRIORITY JOURNAL; SOCIAL MEDIA; SOCIAL NETWORK; SUPPORT VECTOR MACHINE; ALGORITHM; ARTIFICIAL INTELLIGENCE; DATA MINING; FACTUAL DATABASE; HUMAN; INFORMATION PROCESSING; PROCEDURES; QUALITY CONTROL; REPRODUCIBILITY;

ADVERSE DRUG REACTION REPORTING SYSTEMS; ALGORITHMS; ARTIFICIAL INTELLIGENCE; AUTOMATIC DATA PROCESSING; BENCHMARKING; DATA COLLECTION; DATA MINING; DATABASES, FACTUAL; DRUG-RELATED SIDE EFFECTS AND ADVERSE REACTIONS; HUMANS; INTERNET; NATURAL LANGUAGE PROCESSING; PHARMACOVIGILANCE; REPRODUCIBILITY OF RESULTS; SOCIAL MEDIA;

EID: 84924285421     PISSN: 15320464     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jbi.2014.11.002     Document Type: Article

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