Bayesian data mining techniques: The evidence provided by signals detected in single-company spontaneous reports databases

Drug Information Journal

Volumn 41, Issue 1, 2007, Pages 11-21

  Cesana, Marina ^a   Cerutti, Renata ^b   Grossi, Enzo ^b   Fagiuoli, Enrico ^c   Stabilini, Marianna ^c   Stella, Fabio ^c   Luciani, Davide ^d  

^a Bracco Imaging SpA   (Italy)

^b Bracco SpA   (Italy)

^c UNIVERSITY OF MILANO BICOCCA   (Italy)

^d MARIO NEGRI INSTITUTE FOR PHARMACOLOGICAL RESEARCH   (Italy)

Author keywords

Adverse drug reaction signaling; Bayesian confidence propagation neural network; Bayesian data mining; Gamma Poisson shrinkage

Indexed keywords

CONTRAST MEDIUM; GADOBENATE DIMEGLUMINE; GADOTERIDOL; IOMEPROL; IOPAMIDOL; SULFUR HEXAFLUORIDE;

ACUTE KIDNEY FAILURE; ARTICLE; BAYES THEOREM; BAYESIAN CONFIDENCE PROPAGATION NEURAL NETWORK; BAYESIAN DATA MINING TECHNIQUE; CONJUNCTIVITIS; DATA BASE; DATA MINING; DRUG EXPOSURE; DRUG INFORMATION; DRUG MARKETING; DRUG MONITORING; DRUG SAFETY; GAMMA POISSON SHRINKAGE; HEART VENTRICLE FIBRILLATION; HUMAN; INFORMATION PROCESSING; INFORMATION SYSTEM; KIDNEY FAILURE; LARYNX EDEMA; POPULATION EXPOSURE; PRIORITY JOURNAL; PRURITUS; QUANTITATIVE ANALYSIS; SIGNAL DETECTION; TECHNIQUE;

EID: 33846413539     PISSN: 00928615     EISSN: None     Source Type: Journal    
DOI: 10.1177/009286150704100103     Document Type: Article

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