Application of an Empiric Bayesian Data Mining Algorithm to Reports of Pancreatitis Associated with Atypical Antipsychotics

Study Objective. To compare the results from one frequently cited data mining algorithm with those from a study which was published in a peer‐reviewed journal, that examined the association of pancreatitis with selected atypical antipsychotics observed by traditional rule‐based methods of signal det...

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Bibliographic Details

Published in:	Pharmacotherapy Vol. 24; no. 9; pp. 1122 - 1129
Main Author:	Hauben, Manfred
Format:	Journal Article
Language:	English
Published:	Oxford, UK Blackwell Publishing Ltd 01.09.2004
Subjects:	Adverse Drug Reaction Reporting Systems adverse drug reactions Antipsychotic Agents - adverse effects Bayes Theorem computed‐assisted signal detection algorithm data mining Diagnosis, Computer-Assisted drug safety Humans Pancreatitis - chemically induced pharmacovigilance Poisson Distribution Retrospective Studies
ISSN:	0277-0008, 1875-9114
Online Access:	Get full text
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