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Methods Inf Med 1998; 37(04/05): 384-393
DOI: 10.1055/s-0038-1634559
Original Article
Schattauer GmbH

From Text to Knowledge: a Unifying Document-Centered View of Analyzed Medical Language

P. Zweigenbaum
1   Service d'informatique médicale, Assistance Publique, Hôpitaux de Paris & Département de biomathèmatiques, Université Paris 6
,
J. Bouaud
1   Service d'informatique médicale, Assistance Publique, Hôpitaux de Paris & Département de biomathèmatiques, Université Paris 6
,
B. Bachimont
1   Service d'informatique médicale, Assistance Publique, Hôpitaux de Paris & Département de biomathèmatiques, Université Paris 6
,
J. Charlet
1   Service d'informatique médicale, Assistance Publique, Hôpitaux de Paris & Département de biomathèmatiques, Université Paris 6
,
B. Séroussi
1   Service d'informatique médicale, Assistance Publique, Hôpitaux de Paris & Département de biomathèmatiques, Université Paris 6
,
J.-F. Boisvieux
1   Service d'informatique médicale, Assistance Publique, Hôpitaux de Paris & Département de biomathèmatiques, Université Paris 6
› Author Affiliations
Further Information

Publication History

Publication Date:
15 February 2018 (online)

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Abstract

Although medical language processing (MLP) has achieved some success, the actual use and dissemination of data extracted from free text by MLP systems is still very limited. We claim that the adoption of an ‘enricheddocument’ paradigm (or ‘document-centered’ view) can help to address this issue. We present this paradigm and explain how it can be implemented, then discuss its expected benefits both for end-users and MLP researchers.

Keywords

Natural Language Processing - Medical Language - Documents
 

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