… Figure 2: List of tables and sample data for the clean aggregation of the FDA LAERS and …
demonstrated a method for systematic discovery of adverse drug events from clinical notes, …

… 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 …

… Comparative analysis of pharmacovigilance methods in the detection of adverse drug
reactions using electronic medical records. J Am Med Inform Assoc 2013; 20(3): 420-6. [http://dx.…

… Identification of data sources: Our data sources consist of: (a) leading accounting journals 1
, (b) all journals, not overlapping with (a), published by the American Accounting Association …

… detection of adverse drug reactions (ADRs) to ensure patient safety [138]. The estimated
annual social cost of ADR events … , pooling/aggregation, and use of big data to support ongoing …

… by having a directional, purposeful data aggregation. … texts, such as identifying adverse
drug reaction or making early … their effects, but the medical data mining technology can detect …

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) …

… of fake news detection on social … of detecting fake news on social media, including fake
news characterizations on psychology and social theories, existing algorithms from a data mining …

… and Internet of Things technology, to timely monitor all the detection data of the whole supply
… It is a kind of special data or an aggregation of data, which can lead to a negative effects on …

… these data so effective practices can be designed to detect … Aggregation generally helps
in removing redundancies in the … keep in mind that aggressive aggregation of data to coarser …