Hybrid methods for improving information access in clinical documents: concept, assertion, and relation identification.

Objective: This paper describes the approaches the authors developed while participating in the i2b2/VA 2010 challenge to automatically extract medical concepts and annotate assertions on concepts and relations between concepts.Design: The authors'approaches rely on both rule-based and machine-learn...

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Publicado en:	Journal of the American Medical Informatics Association Vol. 18; no. 5; pp. 588 - 594
Autores principales:	Minard AL, Ligozat AL, Ben Abacha A, Bernhard D, Cartoni B, Deléger L, Grau B, Rosset S, Zweigenbaum P, Grouin C, Minard, Anne-Lyse, Ligozat, Anne-Laure, Ben Abacha, Asma, Bernhard, Delphine, Cartoni, Bruno, Deléger, Louise, Grau, Brigitte, Rosset, Sophie, Zweigenbaum, Pierre, Grouin, Cyril
Formato:	research Journal Article
Publicado:	Oxford University Press / USA Sep2011
Acceso en línea:	Ver este registro en EBSCOhost