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Natural Language Processing to Identify Abnormal Breast, Lung, and Cervical Cancer Screening Test Results from Unstructured Reports to Support Timely Follow-up.
Diamond, Courtney J; Laurentiev, John; Yang, Jie; Wint, Amy; Harris, Kimberly A; Dang, Tin H; Mecker, Amrita; Carpenter, Emily B; Tosteson, Anna N; Wright, Adam; Haas, Jennifer S; Atlas, Steven J; Zhou, Li.
Afiliación
  • Diamond CJ; Department of General Internal Medicine, Massachusetts General Hospital, Boston, MA, United States.
  • Laurentiev J; Department of General Internal Medicine, Brigham and Women's Hospital, Boston, MA, United States.
  • Yang J; Department of General Internal Medicine, Brigham and Women's Hospital, Boston, MA, United States.
  • Wint A; Department of General Internal Medicine, Massachusetts General Hospital, Boston, MA, United States.
  • Harris KA; Department of General Internal Medicine, Massachusetts General Hospital, Boston, MA, United States.
  • Dang TH; Department of General Internal Medicine, Massachusetts General Hospital, Boston, MA, United States.
  • Mecker A; Department of General Internal Medicine, Massachusetts General Hospital, Boston, MA, United States.
  • Carpenter EB; Department of General Internal Medicine, Massachusetts General Hospital, Boston, MA, United States.
  • Tosteson AN; The Dartmouth Institute for Health Policy and Clinical Practice, Dartmouth College, Lebanon, NH, United States.
  • Wright A; Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, United States.
  • Haas JS; Department of General Internal Medicine, Massachusetts General Hospital, Boston, MA, United States.
  • Atlas SJ; Department of General Internal Medicine, Massachusetts General Hospital, Boston, MA, United States.
  • Zhou L; Department of General Internal Medicine, Brigham and Women's Hospital, Boston, MA, United States.
Stud Health Technol Inform ; 290: 433-437, 2022 Jun 06.
Article en En | MEDLINE | ID: mdl-35673051
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Procesamiento de Lenguaje Natural / Neoplasias del Cuello Uterino Tipo de estudio: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Límite: Female / Humans Idioma: En Revista: Stud Health Technol Inform Asunto de la revista: INFORMATICA MEDICA / PESQUISA EM SERVICOS DE SAUDE Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Países Bajos
Texto completo
Añadir a Mi BVS
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XML
PubMed Links
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Procesamiento de Lenguaje Natural / Neoplasias del Cuello Uterino Tipo de estudio: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Límite: Female / Humans Idioma: En Revista: Stud Health Technol Inform Asunto de la revista: INFORMATICA MEDICA / PESQUISA EM SERVICOS DE SAUDE Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Países Bajos