Carlos III University of Madrid (UC3M) researchers have developed a system that detects the name of drugs in biomedical texts and integrates them into medical databases as well as into a prototype system that recognizes and classifies drug interactions that could be potentially dangerous to patients. Currently, there are databases to check possible interactions between drugs administered to patients, but many of these databases are not updated often enough, according to the researchers. “The biomedical literature is the best system for staying up-to-date with respect to new interactions, but each year 300,000 articles are published just within the pharmacology domain, which is an avalanche of information overwhelming medical personnel,” says UC3M professor Isabel Sequra. The researchers have developed a system capable of automatically detecting the names of drugs in biomedical texts with 90 percent accuracy. “The system we describe permits identification of drug names and their classification within drug families in scientific texts,” Sequra says. The researchers also are developing a system for extracting interactions. “We have already developed two different prototypes, one based on the use of linguistic patterns and information and a second based on techniques of automatic learning,” says UC3M’s Paloma Martinez.
For More Information Visit: http://www.cpccci.com
Tags: Computer, Computers, cpc, Internet, Network, Networks, performance, Science, site, Web, web site, www.cpccci.com
This entry was posted on Thursday, September 9th, 2010 at 10:48 pm and is filed under CS, Web Design and web optimization. You can follow any responses to this entry through the RSS 2.0 feed. You can leave a response, or trackback from your own site.