Background Accurate prediction of adverse drug events (ADEs) is an important means of
controlling and reducing drug-related morbidity and mortality. Since no single “gold …

Abstract A standardized Adverse Drug Events (ADEs) knowledge base that encodes known
ADE knowledge can be very useful in improving ADE detection for drug safety surveillance …

Background While the association between a drug and an adverse event (ADE) is generally
detected at the level of individual drugs, ADEs are often discussed at the class level, ie, at …

Adverse drug events (ADEs) significantly impact clinical research and public health,
contributing to failures in clinical trials and leading to increased healthcare costs. The …

ABSTRACT Purpose Adverse drug events (ADEs) are common health problems worldwide.
Developing a prediction rule to identify patients at high risk for ADEs to prevent or ameliorate …

Early and accurate identification of adverse drug events (ADEs) is critically important for
public health. We have developed a novel approach for predicting ADEs, called predictive …

Background: A number of published studies compare adverse event rates for drugs on the
basis of reports in the US FDA Adverse Event Reporting System (AERS). While the AERS …

An important goal of the health system is to identify new adverse drug events (ADEs) in the
postapproval period. Data‐mining methods that can transform data into meaningful …

An Adverse Drug Event (ADE) is medical injury that can result from a prescription or over the
counter drug that causes an allergic reaction, overdose, reaction with other drugs or is the …

Adverse drug events (ADEs) are responsible for a significant number of hospital admissions
and fatalities. Machine learning models have been developed to assess individual patient …