Cargando…
Detection of the most influential variables for preventing postpartum urinary incontinence using machine learning techniques
BACKGROUND: Postpartum urinary incontinence is a fairly widespread health problem in today’s society among women who have given birth. Recent studies analysing the different variables that may be related to Postpartum urinary incontinence have brought to light some variables that may be related to P...
Autores principales: | Benítez-Andrades, José Alberto, García-Ordás, María Teresa, Álvarez-González, María, Leirós-Rodríguez, Raquel, López Rodríguez, Ana F |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9272055/ https://www.ncbi.nlm.nih.gov/pubmed/35832475 http://dx.doi.org/10.1177/20552076221111289 |
Ejemplares similares
-
Perineal Massage during Pregnancy for the Prevention of Postpartum Urinary Incontinence: Controlled Clinical Trial
por: Álvarez-González, María, et al.
Publicado: (2022) -
Evaluation of Country Dietary Habits Using Machine Learning Techniques in Relation to Deaths from COVID-19
por: García-Ordás, María Teresa, et al.
Publicado: (2020) -
Adolescent relational behaviour and the obesity pandemic: A descriptive study applying social network analysis and machine learning techniques
por: Marqués-Sánchez, Pilar, et al.
Publicado: (2023) -
Musculoskeletal Pain and Teleworking in Times of the COVID-19: Analysis of the Impact on the Workers at Two Spanish Universities
por: Rodríguez-Nogueira, Óscar, et al.
Publicado: (2020) -
The effect of urinary incontinence status during pregnancy and delivery mode on incontinence postpartum. A cohort study*
por: Wesnes, SL, et al.
Publicado: (2009)