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Measuring distances between medical entities. Step 1: DrugBank

Autor
Olivares, A.; Stankovic, I.; González, H.; Rodriguez, H.
Tipus d'activitat
Presentació treball a congrés
Nom de l'edició
21st International Conference of the Catalan Association for Artificial Intelligence
Any de l'edició
2018
Data de presentació
2018-10-08
Llibre d'actes
Artificial intelligence research and development: current challenges, new trends and applications
Pàgina inicial
106
Pàgina final
115
DOI
10.3233/978-1-61499-918-8-106
URL
http://ebooks.iospress.nl/volumearticle/50396 Obrir en finestra nova
Resum
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.
Paraules clau
Distance measures, DrugBank, Drugs, Medical entities
Grup de recerca
GPLN - Grup de Processament del Llenguatge Natural
IDEAI-UPC - Intelligent Data Science and Artificial Intelligence Research Center
TALP - Centre de Tecnologies i Aplicacions del Llenguatge i la Parla

Participants

  • Olivares Alarcos, Alberto  (autor ponent)
  • Stankovic, Iva  (autor ponent)
  • González, Humberto  (autor ponent)
  • Rodriguez Hontoria, Horacio  (autor ponent)