Pharmacovigilance from social media: Mining adverse drug reaction mentions using sequence labeling with word embedding cluster features

Journal of the American Medical Informatics Association

Volumn 22, Issue 3, 2015, Pages 671-681

  Nikfarjam, Azadeh ^a   Sarker, Abeed ^a   O'Connor, Karen ^a   Ginn, Rachel ^a   Gonzalez, Graciela ^a  

^a ARIZONA STATE UNIVERSITY   (United States)

Author keywords

ADR; Adverse drug reaction; Deep learning word embeddings; Machine learning; Natural language processing; Pharmacovigilance; Social media mining

Indexed keywords

ACETYLSALICYLIC ACID; AMPHETAMINE PLUS DEXAMPHETAMINE; ARIPIPRAZOLE; CITALOPRAM; LORAZEPAM; PAROXETINE; QUETIAPINE; VENLAFAXINE; ZOLPIDEM TARTRATE;

ARTICLE; DATA MINING; DRUG SURVEILLANCE PROGRAM; HANGOVER; HEADACHE; HEARTBURN; HUMAN; MACHINE LEARNING; NATURAL LANGUAGE PROCESSING; RASH; SEMANTICS; SOCIAL MEDIA; TASTE DISORDER; TREMOR; URTICARIA; ARTIFICIAL INTELLIGENCE; PROCEDURES;

ARTIFICIAL INTELLIGENCE; DATA MINING; HUMANS; NATURAL LANGUAGE PROCESSING; PHARMACOVIGILANCE; SEMANTICS; SOCIAL MEDIA;

EID: 84927943705     PISSN: 10675027     EISSN: 1527974X     Source Type: Journal    
DOI: 10.1093/jamia/ocu041     Document Type: Article

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