Text mining is the computational process of extracting meaningful information from large
amounts of unstructured text. It is emerging as a tool to leverage underutilized data sources …

The French health care system is based on universal coverage by one of several health care
insurance plans. The SNIIRAM database merges anonymous information of reimbursed …

Introduction: With increasing availability, the use of healthcare databases as complementary
data source for drug safety signal detection has been explored to circumvent the limitations …

Aims Sodium glucose co‐transporter 2 inhibitors (SGLT2i) are indicated for treatment of type
2 diabetes mellitus (T2DM); some SGLT2i have reported cardiovascular benefit, and some …

Identification of adverse drug reactions (ADRs) during the post-marketing phase is one of
the most important goals of drug safety surveillance. Spontaneous reporting systems (SRS) …

Artificial intelligence (AI) and machine learning (ML) represent significant advancements in
computing, building on technologies that humanity has developed over millions of years …

Introduction Drug safety researchers seek to know the degree of certainty with which a
particular drug is associated with an adverse drug reaction. There are different sources of …

Healthcare professionals increasingly rely on observational healthcare data, such as
administrative claims and electronic health records, to estimate the causal effects of …

Background: A plethora of methods and models of disproportionality analyses for safety
surveillance have been developed to date without consensus nor a gold standard, leading …

The promise of augmenting pharmacovigilance with patient‐generated data drawn from the
Internet was called out by a scientific committee charged with conducting a review of the …