A Scalable Natural Language Processing for Inferring BT-RADS Categorization from Unstructured Brain Magnetic Resonance Reports.

Lee, Scott J; Weinberg, Brent D; Gore, Ashwani; Banerjee, Imon

Lee, Scott J; Weinberg, Brent D; Gore, Ashwani; Banerjee, Imon.

Afiliación

Lee SJ; Department of Radiology and Imaging Sciences, Emory University School of Medicine, 1364 Clifton Road NE, Suite D112, Atlanta, GA, 30322, USA.
Weinberg BD; Department of Radiology and Imaging Sciences, Emory University School of Medicine, 1364 Clifton Road NE, Suite D112, Atlanta, GA, 30322, USA.
Gore A; Department of Radiology and Imaging Sciences, Emory University School of Medicine, 1364 Clifton Road NE, Suite D112, Atlanta, GA, 30322, USA.
Banerjee I; Department of Biomedical Informatics, Emory University School of Medicine, Woodruff Memorial Research Building, Office 4103, 101 Woodruff Circle, 4th Floor East, Atlanta, GA, 30322, USA. imon.banerjee@emory.edu.

J Digit Imaging ; 33(6): 1393-1400, 2020 12.

Article en En | MEDLINE | ID: mdl-32495125

Asunto(s)

Procesamiento de Lenguaje Natural; Semántica; Encéfalo/diagnóstico por imagen; Humanos; Espectroscopía de Resonancia Magnética; Estudios Retrospectivos

Palabras clave

BT-RADS; Deep learning; Distributional semantics; NLP; Text mining

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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Semántica / Procesamiento de Lenguaje Natural Tipo de estudio: Observational_studies / Prognostic_studies Límite: Humans Idioma: En Revista: J Digit Imaging Asunto de la revista: DIAGNOSTICO POR IMAGEM / INFORMATICA MEDICA / RADIOLOGIA Año: 2020 Tipo del documento: Article País de afiliación: Estados Unidos

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