Natural language processing of radiology reports for the detection of thromboembolic diseases and clinically relevant incidental findings

BACKGROUND: Natural Language Processing (NLP) has been shown effective to analyze the content of radiology reports and identify diagnosis or patient characteristics. We evaluate the combination of NLP and machine learning to detect thromboembolic disease diagnosis and incidental clinically relevant...

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Detalhes bibliográficos
Main Authors: Pham, Anne-Dominique, Névéol, Aurélie, Lavergne, Thomas, Yasunaga, Daisuke, Clément, Olivier, Meyer, Guy, Morello, Rémy, Burgun, Anita
Formato: Artigo
Idioma:Inglês
Publicado em: BioMed Central 2014
Assuntos:
Research Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC4133634/
https://ncbi.nlm.nih.gov/pubmed/25099227
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2105-15-266
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