This work presents an on-line system developed for medical information extraction. The goal
is to provide a web-based service addressed to the medical community for the efficient …

Adverse drug events (ADEs) are grossly under-reported in electronic health records (EHRs).
This could be mitigated by methods that are able to detect ADEs in EHRs, thereby allowing …

Adverse drug events (ADEs) are common, costly and a public health issue. Today, their
detection relies on medical chart review and spontaneous reports, but this is known to be …

Adverse drug reactions (ADRs) represent one of the main health and economic problems in
the world. With increasing data on ADRs, there is an increased need for software tools …

The ability to detect adverse drug events (ADEs) in electronic health records (EHRs) is
useful in many medical applications, such as alerting systems that indicate when an ADE …

Electronic health records (EHRs) provide a potentially valuable source of information for
pharmacovigilance. However, adverse drug events (ADEs), which can be encoded in EHRs …

Adverse drug events (ADEs) trigger a high number of hospital emergency room (ER) visits.
Information about ADEs is often available in online drug databases in the form of narrative …

Adverse Drug Reaction (ADR) is a major problem faced by medical practitioners with
respect to drug safety. A number of Pre-marketing trials have fail to detect adverse drug …

Adverse drug events (ADEs) are known to be severely under-reported in electronic health
record (EHR) systems. One approach to mitigate this problem is to employ machine learning …

Electronic health records (EHRs) have recently been identified as a potentially valuable
source for monitoring adverse drug events (ADEs). However, ADEs are heavily under …