title: Thesaurus-Based Hierarchical Semantic Grouping of Medical Terms in Information Extraction.
abstract: In this paper we describe a semantic approach for grouping medical terms into a hierarchy of concepts based on the UMLS meta-thesaurus. The context of this work is Medical Recap, a Web system that automatically extracts risk information from PubMed abstracts, and then aggregates this knowledge into dependence graphs or Bayesian networks.
authors: IBM Research, Ireland.
authors: Yassine
authors: Y
authors: Lassoued
authors: IBM Research, Ireland.
authors: Léa
authors: L
authors: Deleris
mesh_terms: D001499:Bayes Theorem; D006801:Humans; D016247:Information Storage and Retrieval / Q000379:methods*; D039781:PubMed; D012660:Semantics; D017432:Unified Medical Language System; D018875:Vocabulary, Controlled