Cargando…
3515 Readability of online patient education materials on gynecologic malignancies from major medical associations
OBJECTIVES/SPECIFIC AIMS: Patients are increasingly using online materials to learn about gynecologic cancer. Recent studies demonstrate that 85-96% of patients with a gynecologic malignancy utilize the Internet as a health resource. Providers can refer patients to educational materials produced by...
Autores principales: | Samuel, David, Vilardo, Nicole, Isani, Sara, Gressel, Gregory |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cambridge University Press
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6798963/ http://dx.doi.org/10.1017/cts.2019.69 |
Ejemplares similares
-
2416: A machine learning pipeline to predict acute kidney injury (AKI) in patients without AKI in their most recent hospitalization
por: Weisenthal, Samuel, et al.
Publicado: (2018) -
2476: Identifying strangulated small bowel obstruction with machine learning
por: David Zetumer, Samuel, et al.
Publicado: (2018) -
2507: Towards a scalable informatics platform for enhancing accrual into clinical research studies
por: Gouripeddi, Ram, et al.
Publicado: (2018) -
2286: HOME Cell 2.0. Extending i2b2 to support community health outcome monitoring and evaluation via web-accessible software
por: Adams, William G., et al.
Publicado: (2018) -
2293: Passive intracranial EEG-based localization of the central sulcus during sleep
por: Alkawadri, Rafeed
Publicado: (2018)