Classification of CT Pulmonary Angiography Reports by Presence, Chronicity, and Location of Pulmonary Embolism with Natural Language Processing

In this paper we describe an efficient tool based on natural language processing for classifying the detail state of pulmonary embolism (PE) recorded in CT pulmonary angiography reports. The classification tasks include: PE present vs. absent, acute PE vs. others, central PE vs. others, and sub-segm...

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Veröffentlicht in:J Biomed Inform
Hauptverfasser: Yu, Sheng, Kumamaru, Kanako K., George, Elizabeth, Dunne, Ruth M., Bedayat, Arash, Neykov, Matey, Hunsaker, Andetta R., Dill, Karin E., Cai, Tianxi, Rybicki, Frank J.
Format: Artigo
Sprache:Inglês
Veröffentlicht: 2014
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Article
Online Zugang:https://ncbi.nlm.nih.gov/pmc/articles/PMC4261018/
https://ncbi.nlm.nih.gov/pubmed/25117751
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.jbi.2014.08.001
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