Cargando…
Natural Language Processing for Surveillance of Cervical and Anal Cancer and Precancer: Algorithm Development and Split-Validation Study
BACKGROUND: Accurate identification of new diagnoses of human papillomavirus–associated cancers and precancers is an important step toward the development of strategies that optimize the use of human papillomavirus vaccines. The diagnosis of human papillomavirus cancers hinges on a histopathologic r...
Autores principales: | Oliveira, Carlos R, Niccolai, Patrick, Ortiz, Anette Michelle, Sheth, Sangini S, Shapiro, Eugene D, Niccolai, Linda M, Brandt, Cynthia A |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7671846/ https://www.ncbi.nlm.nih.gov/pubmed/32469840 http://dx.doi.org/10.2196/20826 |
Ejemplares similares
-
Effectiveness of HPV vaccine by age at vaccination and number of doses: protocol for a population-based matched case–control study
por: Oliveira, Carlos R, et al.
Publicado: (2021) -
Feasibility and Accuracy of a Computer-Assisted Self-Interviewing Instrument to Ascertain Prior Immunization With Human Papillomavirus Vaccine by Self-Report: Cross-Sectional Analysis
por: Oliveira, Carlos R, et al.
Publicado: (2020) -
Patterns of recommended vaccine receipt among women ages 24–45 years: a cross-sectional analysis
por: Ellingson, Mallory K., et al.
Publicado: (2021) -
Disparities in the Epidemiology of Anal Cancer: A Cross-Sectional Time Series
por: Oliveira, Carlos R., et al.
Publicado: (2020) -
Low Risk of Cervical Cancer/Precancer Among Most Women Under Surveillance Postcolposcopy
por: Demarco, Maria, et al.
Publicado: (2018)