Sequence symmetry analysis (SSA) is a method for detecting adverse drug events by
utilizing computerized claims data. The method has been increasingly used to investigate …

Background The (prescription) sequence symmetry analysis (PSSA) design has been used
to identify potential prescribing cascade signals by assessing the prescribing sequence of …

Abstract Background and Objective. Explainable Artificial Intelligence (XAI) has been
identified as a viable method for determining the importance of features when making …

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 …

The misattribution of an adverse drug reaction (ADR) as a symptom or illness can lead to the
prescribing of additional medication, referred to as a prescribing cascade. The aim of this …

Active surveillance for unknown or unsuspected adverse drug effects may be carried out by
applying epidemiological techniques to large administrative databases. Self-controlled …

The strength of evidence for specific ambulatory care prescribing cascades, in which a
marker drug is used to treat an adverse event caused by an index drug, has not been well …

Abstract Motivation Adverse drug reactions (ADRs) are one of the leading causes of
morbidity and mortality and thus should be detected early to reduce consequences on …

Adverse drug events (ADEs) may occur and lead to severe consequences for the public,
even though clinical trials are conducted in the stage of pre-market. Computational methods …

BACKGROUND Butylphthalide (NBP) and edaravone (EDV) injection are common acute
ischemic stroke medications in China, but there is a lack of large real-world safety studies on …