Detection algorithms and attentive points of safety signal using spontaneous reporting systems as a clinical data source
Y Noguchi, T Tachi, H Teramachi - Briefings in bioinformatics, 2021 - academic.oup.com
Continuous evaluation of drug safety is needed following approval to determine adverse
events (AEs) in patient populations with diverse backgrounds. Spontaneous reporting …
events (AEs) in patient populations with diverse backgrounds. Spontaneous reporting …
Quantitative signal detection using spontaneous ADR reporting
Quantitative methods are increasingly used to analyse spontaneous reports. We describe
the core concepts behind the most common methods, the proportional reporting ratio (PRR) …
the core concepts behind the most common methods, the proportional reporting ratio (PRR) …
Detection of drug–drug interactions through data mining studies using clinical sources, scientific literature and social media
S Vilar, C Friedman, G Hripcsak - Briefings in bioinformatics, 2018 - academic.oup.com
Drug–drug interactions (DDIs) constitute an important concern in drug development and
postmarketing pharmacovigilance. They are considered the cause of many adverse drug …
postmarketing pharmacovigilance. They are considered the cause of many adverse drug …
Mining clinical text for signals of adverse drug-drug interactions
Background and objective Electronic health records (EHRs) are increasingly being used to
complement the FDA Adverse Event Reporting System (FAERS) and to enable active …
complement the FDA Adverse Event Reporting System (FAERS) and to enable active …
The role of data mining in pharmacovigilance
M Hauben, D Madigan, CM Gerrits… - Expert opinion on …, 2005 - Taylor & Francis
A principle concern of pharmacovigilance is the timely detection of adverse drug reactions
that are novel by virtue of their clinical nature, severity and/or frequency. The cornerstone of …
that are novel by virtue of their clinical nature, severity and/or frequency. The cornerstone of …
Perspectives on the use of data mining in pharmacovigilance
J Almenoff, JM Tonning, AL Gould, A Szarfman… - Drug safety, 2005 - Springer
In the last 5 years, regulatory agencies and drug monitoring centres have been developing
computerised data-mining methods to better identify reporting relationships in spontaneous …
computerised data-mining methods to better identify reporting relationships in spontaneous …
A statistical methodology for drug–drug interaction surveillance
Interaction between drug substances may yield excessive risk of adverse drug reactions
(ADRs) when two drugs are taken in combination. Collections of individual case safety …
(ADRs) when two drugs are taken in combination. Collections of individual case safety …
Decision support methods for the detection of adverse events in post-marketing data
M Hauben, A Bate - Drug discovery today, 2009 - Elsevier
Spontaneous reporting is a crucial component of post-marketing drug safety surveillance
despite its significant limitations. The size and complexity of some spontaneous reporting …
despite its significant limitations. The size and complexity of some spontaneous reporting …
Review of statistical methodologies for detecting drug–drug interactions using spontaneous reporting systems
Y Noguchi, T Tachi, H Teramachi - Frontiers in pharmacology, 2019 - frontiersin.org
Concomitant use of multiple drugs for therapeutic purposes is known as “polypharmacy
situations,” which has been recognized as an important social problem recently. In …
situations,” which has been recognized as an important social problem recently. In …
Practical pharmacovigilance analysis strategies
A Lawrence Gould - Pharmacoepidemiology and drug safety, 2003 - Wiley Online Library
Purpose To compare two recently proposed Bayesian methods for quantitative
pharmacovigilance with respect to assumptions and results, and to describe some practical …
pharmacovigilance with respect to assumptions and results, and to describe some practical …