A Study of Deep Learning Methods for De-identification of Clinical Notes at Cross Institute Settings.

Yang, Xi; Lyu, Tianchen; Lee, Chih-Yin; Bian, Jiang; Hogan, William R; Wu, Yonghui

Yang, Xi; Lyu, Tianchen; Lee, Chih-Yin; Bian, Jiang; Hogan, William R; Wu, Yonghui.

Afiliación

Yang X; Health Outcomes and Biomedical Informatics College of Medicine, University of Florida Gainesville, USA.
Lyu T; Health Outcomes and Biomedical Informatics College of Medicine, University of Florida Gainesville, USA.
Lee CY; Health Outcomes and Biomedical Informatics College of Medicine, University of Florida Gainesville, USA.
Bian J; Health Outcomes and Biomedical Informatics College of Medicine, University of Florida Gainesville, USA.
Hogan WR; Health Outcomes and Biomedical Informatics College of Medicine, University of Florida Gainesville, USA.
Wu Y; Health Outcomes and Biomedical Informatics College of Medicine, University of Florida Gainesville, USA.

IEEE Int Conf Healthc Inform ; 20192019 Jun.

Article en En | MEDLINE | ID: mdl-31879734

Palabras clave

De-identification; Deep Learning; Natural Language Processing

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Prognostic_studies Idioma: En Revista: IEEE Int Conf Healthc Inform Año: 2019 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos

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