Over the past decade, polypharmacy instances have been common in multi-diseases
treatment. However, unwanted drug-drug interactions (DDIs) that might cause unexpected …

New approaches to biomedical text mining crucially depend on the existence of
comprehensive annotated corpora. Such corpora, commonly called gold standards, are …

The management of drug–drug interactions (DDIs) is a critical issue resulting from the
overwhelming amount of information available on them. Natural Language Processing …

Although potential drug–drug interactions (PDDIs) are a significant source of preventable
drug-related harm, there is currently no single complete source of PDDI information. In the …

The primary goal of drug safety researchers and regulators is to promptly identify adverse
drug reactions. Doing so may in turn prevent or reduce the harm to patients and ultimately …

The use of background knowledge is largely unexploited in text classification tasks. This
paper explores word taxonomies as means for constructing new semantic features, which …

Influx evidences show that red long non-coding RNAs (lncRNAs) play important roles in
various critical biological processes, and they afffect the development and progression of …

Drug name recognition (DNR), which seeks to recognize drug mentions in unstructured
medical texts and classify them into pre-defined categories, is a fundamental task of medical …

Pharmacovigilance (PV) databases record the benefits and risks of different drugs, as a
means to ensure their safe and effective use. Creating and maintaining such resources can …

Background Drug information compendia and drug-drug interaction information databases
are critical resources for clinicians and pharmacists working to avoid adverse events due to …