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 …
A method for mining infrequent causal associations and its application in finding adverse drug reaction signal pairs
In many real-world applications, it is important to mine causal relationships where an event
or event pattern causes certain outcomes with low probability. Discovering this kind of …
or event pattern causes certain outcomes with low probability. Discovering this kind of …
Early detection of adverse drug reaction signals by association rule mining using large-scale administrative claims data
H Yamamoto, G Kayanuma, T Nagashima, C Toda… - Drug Safety, 2023 - Springer
Abstract Introduction Adverse drug reactions (ADRs) are a leading cause of mortality
worldwide and should be detected promptly to reduce health risks to patients. A data-mining …
worldwide and should be detected promptly to reduce health risks to patients. A data-mining …
A potential causal association mining algorithm for screening adverse drug reactions in postmarketing surveillance
Early detection of unknown adverse drug reactions (ADRs) in postmarketing surveillance
saves lives and prevents harmful consequences. We propose a novel data mining approach …
saves lives and prevents harmful consequences. We propose a novel data mining approach …
A new search method using association rule mining for drug-drug interaction based on spontaneous report system
Y Noguchi, A Ueno, M Otsubo, H Katsuno… - Frontiers in …, 2018 - frontiersin.org
Background: Adverse events (AEs) can be caused not only by one drug but also by the
interaction between two or more drugs. Therefore, clarifying whether an AE is due to a …
interaction between two or more drugs. Therefore, clarifying whether an AE is due to a …
[HTML][HTML] Commonality of drug-associated adverse events detected by 4 commonly used data mining algorithms
T Sakaeda, K Kadoyama, K Minami… - International journal of …, 2014 - ncbi.nlm.nih.gov
Objectives: Data mining algorithms have been developed for the quantitative detection of
drug-associated adverse events (signals) from a large database on spontaneously reported …
drug-associated adverse events (signals) from a large database on spontaneously reported …
A comparison study of algorithms to detect drug–adverse event associations: frequentist, bayesian, and machine-learning approaches
Introduction It is important to monitor the safety profile of drugs, and mining for strong
associations between drugs and adverse events is an effective and inexpensive method of …
associations between drugs and adverse events is an effective and inexpensive method of …
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 …
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 …
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 …