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...

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Veröffentlicht in:	Artificial intelligence in medicine Jg. 122; S. 102212
Hauptverfasser:	Aparo, Antonino, Sala, Pietro, Bonnici, Vincenzo, Giugno, Rosalba
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Netherlands Elsevier B.V 01.12.2021
Schlagworte:	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-Zugang:	Volltext
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