Natural Language Processing for Surveillance of Cervical and Anal Cancer and Precancer: Algorithm Development and Split-Validation Study.

Oliveira, Carlos R; Niccolai, Patrick; Ortiz, Anette Michelle; Sheth, Sangini S; Shapiro, Eugene D; Niccolai, Linda M; Brandt, Cynthia A

Oliveira, Carlos R; Niccolai, Patrick; Ortiz, Anette Michelle; Sheth, Sangini S; Shapiro, Eugene D; Niccolai, Linda M; Brandt, Cynthia A.

Afiliación

Oliveira CR; Department of Pediatrics, Yale University School of Medicine, New Haven, CT, United States.
Niccolai P; Department of Pediatrics, Yale University School of Medicine, New Haven, CT, United States.
Ortiz AM; Department of Pediatrics, Yale University School of Medicine, New Haven, CT, United States.
Sheth SS; Department of Obstetrics, Gynecology, and Reproductive Sciences, Yale University School of Medicine, New Haven, CT, United States.
Shapiro ED; Department of Pediatrics, Yale University School of Medicine, New Haven, CT, United States.
Niccolai LM; Departments of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, United States.
Brandt CA; Departments of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, United States.

JMIR Med Inform ; 8(11): e20826, 2020 Nov 03.

Article en En | MEDLINE | ID: mdl-32469840

Palabras clave

HPV; accuracy; anal cancer; automated data extraction; cancer; cervical cancer; human papillomavirus; natural language processing; pathology reporting; precancer; surveillance

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Guideline / Prognostic_studies / Screening_studies Idioma: En Revista: JMIR Med Inform Año: 2020 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Canadá

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