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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Vydané v:	Artificial intelligence in medicine Ročník 122; s. 102212
Hlavní autori:	Aparo, Antonino, Sala, Pietro, Bonnici, Vincenzo, Giugno, Rosalba
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Netherlands Elsevier B.V 01.12.2021
Predmet:	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
On-line prístup:	Získať plný text
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