Background

A Drug-Drug Interaction (DDI) occurs when one drug influences the level or activity of another, for example, raising its blood drug levels and possibly intensifying its side effects or decreasing drug concentrations and thereby reducing its effectiveness. The detection of DDI is an important research area in patient safety since these interactions can become very dangerous and increase health care costs. Although there are different databases supporting health care professionals in the detection of DDI, these databases are rarely complete, since their update periods can reach three years. Drug interactions are frequently reported in journals of clinical pharmacology and technical reports, making medical literature the most effective source for the detection of DDI. Thus, the management of DDI is a critical issue due to the overwhelming amount of information available on them.

Information Extraction (IE) can be of great benefit in the pharmaceutical industry allowing identification and extraction of relevant information on DDI and providing an interesting way of reducing the time spent by health care professionals on reviewing the literature. Moreover, the development of tools for automatically extracting DDI is essential for improving and updating the drug knowledge databases. Most investigation has focused on biological relationships (genetic and protein interactions (PPI)) due mainly to the availability of annotated corpora in the biological domain, a fact that facilitates the evaluation of approaches. Few approaches have focused on the extraction of DDIs.

Universidad Carlos III de Madrid - Computer Science Department - LABDA http://labda.inf.uc3m.es

Valid XHTML 1.0 Strict - ¡CSS Válido! - Icono de conformidad con el Nivel Triple-A, 
				de las Directrices de Accesibilidad para el 
				Contenido Web 1.0 del W3C-WAI