The use of Bayesian confidence propagation neural network in pharmacovigilance

The use of Bayesian confidence propagation neural network in pharmacovigilance

The WHO database contains more than 2.8 million case reports of suspected adverse drug reactions reported from 70 countries worldwide since 1968. The Uppsala Monitoring Centre maintains and analyses this database for new signals on behalf of the WHO Programme for International Drug Monitoring. A goa...

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Bibliographic Details
Main Author: Bate, Andrew
Format: Doctoral Thesis
Language:English
Published: Umeå universitet, Farmakologi och klinisk neurovetenskap 2003
Subjects:
adverse drug reactions
pharmacovigilance
signal detection
spontaneous reporting
data mining
Bayesian statistics
BCPNN
neural network
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-83
http://nbn-resolving.de/urn:isbn:91-7305-466-6

Internet

http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-83
http://nbn-resolving.de/urn:isbn:91-7305-466-6

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