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...

Descripció completa

Guardat en:
Dades bibliogràfiques
Autors principals: Pham, Anne-Dominique, Névéol, Aurélie, Lavergne, Thomas, Yasunaga, Daisuke, Clément, Olivier, Meyer, Guy, Morello, Rémy, Burgun, Anita
Format: Artigo
Idioma:Inglês
Publicat: BioMed Central 2014
Matèries:
Research Article
Accés en línia: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
Etiquetes: Afegir etiqueta
Sense etiquetes, Sigues el primer a etiquetar aquest registre!

Ítems similars