… Identification of drugs, associated medication entities, and interactions among them are crucial
to prevent unwanted effects of drug therapy, known as adverse drug events. … medication-…

… by antipsychotic drugs is one of the adverse drug reactions. … using data mining methods to
detect signals of drug-related … However, platelet aggregation mainly leads to arterial clots, not …

… The aggregation of Aβ protein is hypothesized to trigger a cascade of disease-causing …
However, anti-tau or anti-amyloid selective drug discovery approaches have a lack of clinical …

… normalization, unification, and ontological aggregation of the drugs, indications, and AE, …
among those for other ATC-A10 class drug was also detected after restricting to reports filed by …

Manufacturing organizations need to use different kinds of techniques and tools in order to
fulfill their foundation goals. In this aspect, using machine learning (ML) and data mining (DM) …

… detection, association and pattern mining, outlier detection, … , spatiotemporal discretisation
(or aggregation) is applied. The … point but requires the aggregation of the crimes occurred in …

… that implement drug repurposing and adverse drug reaction prediction for drug discovery.
As … are jointly propagated and updated in a recursive aggregation process. Feeney et al. [51] …

… the most important ones and took negative effects, while the 5th feature … aggregation degree
of data points inside the cluster. Then, we designed an adaptive algorithm AdaEllip to detect …

… adverse drug reactions from the FDA Adverse Event Reporting System (FAERS) for approved
drugs, … provides more in-depth aggregation and analysis of data. Users can also rearrange …

… discovery of the process model by proper process mining … the distance of events to determine
behavior aggregation and abstraction… negative effects from potential bottlenecks if possible. …