TEDAR: Temporal dynamic signal detection of adverse reactions

Computational approaches to detect the signals of adverse drug reactions are powerful tools to monitor the unattended effects that users experience and report, also preventing death and serious injury. They apply statistical indices to affirm the validity of adverse reactions reported by users. The...

Full description

Saved in:

Bibliographic Details
Published in:	Artificial intelligence in medicine Vol. 122; p. 102212
Main Authors:	Aparo, Antonino, Sala, Pietro, Bonnici, Vincenzo, Giugno, Rosalba
Format:	Journal Article
Language:	English
Published:	Netherlands Elsevier B.V 01.12.2021
Subjects:	Adverse Drug Reaction Reporting Systems Adverse drug reactions Databases, Factual Drug-Related Side Effects and Adverse Reactions - diagnosis Dynamic temporal intervals Early signal detection Graph-based algorithm Humans Pharmacovigilance Pharmacovigilance datasets Signal detection ESD Dynamic temporal intervals Graph-based algorithm DTI Adverse drug reactions Early signal detection Pharmacovigilance datasets Signal detection ADR
ISSN:	0933-3657, 1873-2860, 1873-2860
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!