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FasTag: Automatic text classification of unstructured medical narratives.
Venkataraman, Guhan Ram; Pineda, Arturo Lopez; Bear Don't Walk Iv, Oliver J; Zehnder, Ashley M; Ayyar, Sandeep; Page, Rodney L; Bustamante, Carlos D; Rivas, Manuel A.
Afiliación
  • Venkataraman GR; Department of Biomedical Data Science, School of Medicine, Stanford University, Stanford, CA, United States of America.
  • Pineda AL; Department of Biomedical Data Science, School of Medicine, Stanford University, Stanford, CA, United States of America.
  • Bear Don't Walk Iv OJ; Department of Biomedical Informatics, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, United States of America.
  • Zehnder AM; Fauna Bio, San Francisco, CA, United States of America.
  • Ayyar S; Department of Biomedical Data Science, School of Medicine, Stanford University, Stanford, CA, United States of America.
  • Page RL; Department of Clinical Sciences, College of Veterinary Medicine and Biomedical Sciences, Colorado State University, Fort Collins, CO, United States of America.
  • Bustamante CD; Department of Biomedical Data Science, School of Medicine, Stanford University, Stanford, CA, United States of America.
  • Rivas MA; Chan Zuckerberg Biohub, San Francisco, CA, United States of America.
PLoS One ; 15(6): e0234647, 2020.
Article en En | MEDLINE | ID: mdl-32569327

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Programas Informáticos / Minería de Datos / Medicina Narrativa Tipo de estudio: Guideline / Observational_studies / Prognostic_studies Límite: Animals / Humans Idioma: En Revista: PLoS One Asunto de la revista: CIENCIA / MEDICINA Año: 2020 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Programas Informáticos / Minería de Datos / Medicina Narrativa Tipo de estudio: Guideline / Observational_studies / Prognostic_studies Límite: Animals / Humans Idioma: En Revista: PLoS One Asunto de la revista: CIENCIA / MEDICINA Año: 2020 Tipo del documento: Article País de afiliación: Estados Unidos