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...

Deskribapen osoa

Gorde:
Xehetasun bibliografikoak
Egile Nagusiak: Pham, Anne-Dominique, Névéol, Aurélie, Lavergne, Thomas, Yasunaga, Daisuke, Clément, Olivier, Meyer, Guy, Morello, Rémy, Burgun, Anita
Formatua: Artigo
Hizkuntza:Inglês
Argitaratua: BioMed Central 2014
Gaiak:
Research Article
Sarrera elektronikoa: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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