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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Bibliographic Details
Main Authors:	Farkas, Richárd, Szarvas, György, Hegedűs, István, Almási, Attila, Vincze, Veronika, Ormándi, Róbert, Busa-Fekete, Róbert
Format:	Artigo
Language:	Inglês
Published:	American Medical Informatics Association 2009
Subjects:	Focus on i2b2 Obesity NLP Challenge: Research Paper
Online Access:	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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Semi-automated Construction of Decision Rules to Predict Morbidities from Clinical Texts

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