Closing the loop: automatically identifying abnormal imaging results in scanned documents.

Kumar, Akshat; Goodrum, Heath; Kim, Ashley; Stender, Carly; Roberts, Kirk; Bernstam, Elmer V

Kumar, Akshat; Goodrum, Heath; Kim, Ashley; Stender, Carly; Roberts, Kirk; Bernstam, Elmer V.

Afiliación

Kumar A; School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, Texas, USA.
Goodrum H; McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, Texas, USA.
Kim A; School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, Texas, USA.
Stender C; McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, Texas, USA.
Roberts K; McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, Texas, USA.
Bernstam EV; School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, Texas, USA.

J Am Med Inform Assoc ; 29(5): 831-840, 2022 04 13.

Article en En | MEDLINE | ID: mdl-35146510

Asunto(s)

Registros Electrónicos de Salud; Tomografía Computarizada por Rayos X; Procesamiento de Lenguaje Natural; Informe de Investigación

Palabras clave

classification; electronic health records; machine learning; natural language processing; radiology

Texto completo

Añadir a Mi BVS

Imprimir

XML

PubMed Links

Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Tomografía Computarizada por Rayos X / Registros Electrónicos de Salud Tipo de estudio: Guideline / Prognostic_studies Idioma: En Revista: J Am Med Inform Assoc Asunto de la revista: INFORMATICA MEDICA Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Reino Unido

Texto completo

Añadir a Mi BVS

Imprimir

XML

PubMed Links

Buscar en Google