Analyse et structuration automatique des guides de bonnes pratiques cliniques : essai d'évaluation

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dc.creatorBouffier, Amanda
dc.creatorPoibeau, Thierry
dc.creatorDuclos, Catherine
dc.date2008-12-16
dc.date.accessioned2026-07-07T12:13:03Z
dc.date.available2026-07-07T12:13:03Z
dc.descriptionHealth Practice Guideliens are supposed to unify practices and propose recommendations to physicians. This paper describes GemFrame, a system capable of semi-automatically filling an XML template from free texts in the clinical domain. The XML template includes semantic information not explicitly encoded in the text (pairs of conditions and ac-tions/recommendations). Therefore, there is a need to compute the exact scope of condi-tions over text sequences expressing the re-quired actions. We present a system developped for this task. We show that it yields good performance when applied to the analysis of French practice guidelines. We conclude with a precise evaluation of the tool.
dc.identifierhttps://arxiv.org/abs/0812.2991
dc.identifierhttp://arxiv.org/abs/0812.2991
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/210747
dc.subjectArtificial Intelligence
dc.titleAnalyse et structuration automatique des guides de bonnes pratiques cliniques : essai d'évaluation
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