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Semi-automated Construction of Decision Rules to Predict Morbidities from Clinical Texts

OBJECTIVE: In this study the authors describe the system submitted by the team of University of Szeged to the second i2b2 Challenge in Natural Language Processing for Clinical Data. The challenge focused on the development of automatic systems that analyzed clinical discharge summary texts and addre...

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Detalles Bibliográficos
Main Authors: Farkas, Richárd, Szarvas, György, Hegedűs, István, Almási, Attila, Vincze, Veronika, Ormándi, Róbert, Busa-Fekete, Róbert
Formato: Artigo
Idioma:Inglês
Publicado: American Medical Informatics Association 2009
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Acceso en liña:https://ncbi.nlm.nih.gov/pmc/articles/PMC2705267/
https://ncbi.nlm.nih.gov/pubmed/19390097
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1197/jamia.M3097
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