Text mining for pharmacovigilance: Using machine learning for drug name recognition and drug-drug interaction extraction and classification

Journal of Biomedical Informatics

Volumn 58, Issue , 2015, Pages 122-132

  Ben Abacha, Asma ^a   Chowdhury, Md Faisal Mahbub ^b   Karanasiou, Aikaterini ^a   Mrabet, Yassine ^a   Lavelli, Alberto ^c   Zweigenbaum, Pierre ^d  

^a LUXEMBOURG INSTITUTE OF SCIENCE AND TECHNOLOGY   (Luxembourg)

^b IBM RESEARCH   (United States)

^c FONDAZIONE BRUNO KESSLER   (Italy)

^d CNRS   (France)

Author keywords

Drug name recognition; Drug drug interactions; Machine learning; Pharmacovigilance; Text mining

Indexed keywords

ARTIFICIAL INTELLIGENCE; CHARACTER RECOGNITION; DATA MINING; DRUG PRODUCTS; EXTRACTION; HYBRID SYSTEMS; LEARNING SYSTEMS; NATURAL LANGUAGE PROCESSING SYSTEMS; TEXT PROCESSING;

DRUG-DRUG INTERACTIONS; FEATURE-BASED METHOD; KERNEL BASED METHODS; NAME RECOGNITION; PHARMACOVIGILANCE; TEXT MINING; TWO-STEP SYSTEMS; WORLD HEALTH ORGANIZATION;

DRUG INTERACTIONS;

ACCURACY; ARTICLE; CLASSIFICATION ALGORITHM; CLASSIFIER; DATA ANALYSIS; DATA EXTRACTION; DATA MINING; DRUG SURVEILLANCE PROGRAM; KERNEL METHOD; LINEAR SYSTEM; MATHEMATICAL ANALYSIS; MATHEMATICAL MODEL; PREDICTION; PRIORITY JOURNAL; PROBABILITY; SEMANTICS; DRUG INTERACTION; MACHINE LEARNING;

DATA MINING; DRUG INTERACTIONS; MACHINE LEARNING; PHARMACOVIGILANCE;

EID: 84947916834     PISSN: 15320464     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jbi.2015.09.015     Document Type: Article

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