… A more specific type of interaction is with another drug (drug–drug interactions or DDIs). …
reviewed statistical and data mining methods in pharmacovigilance, concluding that data mining …

… Biological Versus Statistical Interaction This article discusses interactions in 2 senses:
statistical and biological. Specifically, we describe how statistical interactions can be used to …

… drug interactions cases where one of the drugs in the association was a known cause of the
reported AE (B1–C1), the interaction … rarely receives reports of drug interactions. Example 7 …

… as a valuable resource to text mining drug interactions using pharmacokinetic parameters. …
and explained in this section is provided in Table 2 to compare statistics and conclusions. …

… what we observe as drug-drug interactions often take the form of drug-gene-drug interactions.
… in clinical practice, drug-gene interactions are not as widely known. In addition, genes and …

… drug–drug interaction detection based on ICSR data may be due to an underlying assumption
that the absence of interaction is … of established drug–drug interaction highlighted with our …

… currently used mining algorithms and suggestions for further research for drug interactions
(DIs) … thus does not provide an appropriate statistical context for studying drug interaction [61]. …

… And so using standard statistical mining algorithms used routinely in PhV for detecting DI …
of drug interactions from FAERS. Apriori algorithm, as a type of association rules mining (ARM), …

… Our aim was to investigate whether drug–drug interactions were discoverable without prior
hypotheses using data mining. We focused … (not to be confused with statistical interactions). …

… large scale text mining and statistical inference techniques to … mined. Third, we evaluated
our results with a limited database containing only a fraction of confirmed drug-drug interactions…