A novel signal detection algorithm for identifying hidden drug-drug interactions in adverse event reports
NP Tatonetti, GH Fernald… - Journal of the American …, 2012 - academic.oup.com
Abstract Objective Adverse drug events (ADEs) are common and account for 770 000
injuries and deaths each year and drug interactions account for as much as 30% of these …
injuries and deaths each year and drug interactions account for as much as 30% of these …
A pipeline to extract drug-adverse event pairs from multiple data sources
SJ Yeleswarapu, A Rao, T Joseph… - BMC medical informatics …, 2014 - Springer
Background Pharmacovigilance aims to uncover and understand harmful side-effects of
drugs, termed adverse events (AEs). Although the current process of pharmacovigilance is …
drugs, termed adverse events (AEs). Although the current process of pharmacovigilance is …
[HTML][HTML] Predicting adverse drug events from personal health messages
BW Chee, R Berlin, B Schatz - AMIA Annual Symposium …, 2011 - ncbi.nlm.nih.gov
Adverse drug events (ADEs) remain a large problem in the United States, being the fourth
leading cause of death, despite post market drug surveillance. Much post consumer drug …
leading cause of death, despite post market drug surveillance. Much post consumer drug …
A method for systematic discovery of adverse drug events from clinical notes
G Wang, K Jung, R Winnenburg… - Journal of the American …, 2015 - academic.oup.com
Abstract Objective Adverse drug events (ADEs) are undesired harmful effects resulting from
use of a medication, and occur in 30% of hospitalized patients. The authors have developed …
use of a medication, and occur in 30% of hospitalized patients. The authors have developed …
[HTML][HTML] Statistical mining of potential drug interaction adverse effects in FDA's spontaneous reporting system
Many adverse drug effects (ADEs) can be attributed to drug interactions. Spontaneous
reporting systems (SRS) provide a rich opportunity to detect novel post-marketed drug …
reporting systems (SRS) provide a rich opportunity to detect novel post-marketed drug …
Identifying adverse drug reactions associated with drug-drug interactions: data mining of a spontaneous reporting database in Italy
R Leone, L Magro, U Moretti, P Cutroneo, M Moschini… - Drug safety, 2010 - Springer
Abstract Background: Drug-drug interactions (DDIs) are an important cause of adverse drug
reactions (ADRs). Many studies have recently considered this issue, but most of them focus …
reactions (ADRs). Many studies have recently considered this issue, but most of them focus …
Mining multi-item drug adverse effect associations in spontaneous reporting systems
Background Multi-item adverse drug event (ADE) associations are associations relating
multiple drugs to possibly multiple adverse events. The current standard in …
multiple drugs to possibly multiple adverse events. The current standard in …
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 …
Structured override reasons for drug-drug interaction alerts in electronic health records
Objective The study sought to determine availability and use of structured override reasons
for drug-drug interaction (DDI) alerts in electronic health records. Materials and Methods We …
for drug-drug interaction (DDI) alerts in electronic health records. Materials and Methods We …
Identification of adverse drug-drug interactions through causal association rule discovery from spontaneous adverse event reports
Objective Drug-drug interaction (DDI) is of serious concern, causing over 30% of all adverse
drug reactions and resulting in significant morbidity and mortality. Early discovery of adverse …
drug reactions and resulting in significant morbidity and mortality. Early discovery of adverse …