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Ambiguous and Incomplete: Natural Language Processing Reveals Problematic Reporting Styles in Thyroid Ultrasound Reports.
Dedhia, Priya H; Chen, Kallie; Song, Yiqiang; LaRose, Eric; Imbus, Joseph R; Peissig, Peggy L; Mendonca, Eneida A; Schneider, David F.
Afiliación
  • Dedhia PH; Department of Surgery, Division of Surgical Oncology, Ohio State University Comprehensive Cancer Center and Ohio State University Wexner Medical Center, Columbus, Ohio, United States.
  • Chen K; Department of Surgery, Division of Endocrine Surgery, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin, United States.
  • Song Y; Department of Biostatistics and Medical Informatics, Department of Pediatrics, University of Wisconsin-Madison, Madison, Wisconsin, United States.
  • LaRose E; Center for Precision Medicine Research, Marshfield Clinic Research Institute, Marshfield Clinic Health System, Marshfield, Wisconsin, United States.
  • Imbus JR; Department of Surgery, Division of Endocrine Surgery, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin, United States.
  • Peissig PL; Center for Precision Medicine Research, Marshfield Clinic Research Institute, Marshfield Clinic Health System, Marshfield, Wisconsin, United States.
  • Mendonca EA; Department of Biostatistics and Medical Informatics, Department of Pediatrics, University of Wisconsin-Madison, Madison, Wisconsin, United States.
  • Schneider DF; Department of Pediatrics, Department of Biostatistics and Health Data Sciences, Indiana University, Indianapolis, Indiana, United States.
Methods Inf Med ; 61(1-02): 11-18, 2022 05.
Article en En | MEDLINE | ID: mdl-34991173

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Procesamiento de Lenguaje Natural / Linfadenopatía Límite: Humans Idioma: En Revista: Methods Inf Med Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Procesamiento de Lenguaje Natural / Linfadenopatía Límite: Humans Idioma: En Revista: Methods Inf Med Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos