Large-scale combining signals from both biomedical literature and the FDA Adverse Event Reporting System (FAERS) to improve post-marketing drug safety signal detection

BMC Bioinformatics

Volumn 15, Issue 1, 2014, Pages

  Xu, Rong ^a   Wang, QuanQiu ^b  

^a CASE WESTERN RESERVE UNIVERSITY SCHOOL OF MEDICINE   (United States)

^b ThinTek LLC   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADVERSE EVENTS; BIOMEDICAL LITERATURE; DATA-SOURCES; DRUG SAFETY; RANKING ALGORITHM; SIDE EFFECT; SIGNAL BOOSTING; US FOOD AND DRUG ADMINISTRATION;

ALGORITHMS; MARKETING; SIGNAL DETECTION;

COMMERCE;

PHARMACOLOGICAL BIOMARKER;

ADVERSE DRUG REACTION; ALGORITHM; ARTICLE; DATA MINING; DRUG SURVEILLANCE PROGRAM; FOOD AND DRUG ADMINISTRATION; HUMAN; MEDLINE; METHODOLOGY; PATIENT SAFETY; POSTMARKETING SURVEILLANCE; UNITED STATES;

ADVERSE DRUG REACTION REPORTING SYSTEMS; ALGORITHMS; BIOMARKERS, PHARMACOLOGICAL; DATA MINING; DRUG-RELATED SIDE EFFECTS AND ADVERSE REACTIONS; HUMANS; MEDLINE; PATIENT SAFETY; PRODUCT SURVEILLANCE, POSTMARKETING; UNITED STATES; UNITED STATES FOOD AND DRUG ADMINISTRATION;

EID: 84893172915     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/1471-2105-15-17     Document Type: Article

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