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Measuring distances between medical entities. Step 1: DrugBank

Author
Olivares, A.; Stankovic, I.; González, H.; Rodriguez, H.
Type of activity
Presentation of work at congresses
Name of edition
21st International Conference of the Catalan Association for Artificial Intelligence
Date of publication
2018
Presentation's date
2018-10-08
Book of congress proceedings
Artificial intelligence research and development: current challenges, new trends and applications
First page
106
Last page
115
DOI
10.3233/978-1-61499-918-8-106
URL
http://ebooks.iospress.nl/volumearticle/50396 Open in new window
Abstract
We face in this paper the problem of computing distance measures between medical entities. Specifically we deal with the most challenging type of medical entity: drugs. Three different similarity measures between drugs are presented, based each one on specific dimensions of drugs description, namely textual, taxonomic and molecular information. All the information has been extracted from the same resource, the DrugBank database.
Keywords
Distance measures, DrugBank, Drugs, Medical entities
Group of research
GPLN - Natural Language Processing Group
IDEAI-UPC - Intelligent Data Science and Artificial Intelligence Research Center
TALP - Centre for Language and Speech Technologies and Applications

Participants