Influence of the MedDRA® hierarchy on pharmacovigilance data mining results

International Journal of Medical Informatics

Volumn 78, Issue 12, 2009, Pages

  Pearson, Ronald K ^a   Hauben, Manfred ^b,c,d   Goldsmith, David I ^e   Gould, A Lawrence ^f   Madigan, David ^g   O'Hara, Donald J ^a   Reisinger, Stephanie J ^a   Hochberg, Alan M ^a  

^a ProSanos Corporation   (United States)

^b NEW YORK UNIVERSITY SCHOOL OF MEDICINE   (United States)

^c NEW YORK MEDICAL COLLEGE   (United States)

^d BRUNEL UNIVERSITY   (United Kingdom)

^e Goldsmith Pharmacovigilance and Systems   (United States)

^f MERCK RESEARCH LABORATORIES   (United States)

^g Howard Hughes Medical Institute   (United States)

Author keywords

Data mining; Gamma Poisson Shrinker; MedDRA; Proportional reporting rate; Terminology; Urn model

Indexed keywords

ADVERSE EVENTS; DATA MINING ALGORITHM; DRUG SAFETY; INTERNATIONAL FEDERATION; LOGISTIC REGRESSION ANALYSIS; MEDDRA; MODEL ALGORITHMS; PHARMACEUTICAL MANUFACTURERS; PHARMACOVIGILANCE; REFERENCE EVENTS; SPECIFIC LANGUAGES; URN MODELS;

ALGORITHMS; DRUG PRODUCTS; GLOBAL POSITIONING SYSTEM; PHOTOTRANSISTORS; POISSON DISTRIBUTION; POISSON EQUATION; REGRESSION ANALYSIS; TERMINOLOGY;

DATA MINING;

ALGORITHM; ARTICLE; DATA BASE; DATA MINING; DRUG SAFETY; DRUG SURVEILLANCE PROGRAM; LOGISTIC REGRESSION ANALYSIS; PRESCRIPTION; PRIORITY JOURNAL; UNITED STATES; FOOD AND DRUG ADMINISTRATION; HUMAN; POSTMARKETING SURVEILLANCE; STATISTICS;

ADVERSE DRUG REACTION REPORTING SYSTEMS; ALGORITHMS; DATA MINING; HUMANS; PRODUCT SURVEILLANCE, POSTMARKETING; UNITED STATES; UNITED STATES FOOD AND DRUG ADMINISTRATION;

EID: 71549117963     PISSN: 13865056     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ijmedinf.2009.01.001     Document Type: Article

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