Cargando…
Predicting cesarean delivery among gravidas with morbid obesity–a machine learning approach
BACKGROUND: Women with obesity have higher rates of complications following cesarean delivery, such as wound infection and endometritis, with risks being the highest if a cesarean delivery is performed after labor. Previous efforts at predicting whether a patient's labor course would ultimately...
Autores principales: | Kolli, Rajasri, Razzaghi, Talayeh, Pierce, Stephanie, Edwards, Rodney K., Maxted, Marta, Parikh, Pavan |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10690625/ https://www.ncbi.nlm.nih.gov/pubmed/38046532 http://dx.doi.org/10.1016/j.xagr.2023.100276 |
Ejemplares similares
-
An imbalance-aware deep neural network for early prediction of preeclampsia
por: Bennett, Rachel, et al.
Publicado: (2022) -
Ultrastructure of Placenta of Gravidas with Gestational Diabetes Mellitus
por: Meng, Qian, et al.
Publicado: (2015) -
A machine learning and clustering-based approach for county-level COVID-19 analysis
por: Nicholson, Charles, et al.
Publicado: (2022) -
Multilevel Weighted Support Vector Machine for Classification on Healthcare Data with Missing Values
por: Razzaghi, Talayeh, et al.
Publicado: (2016) -
Emergency anesthetic management of an achondroplastic elderly gravida with polytrauma
por: Tyagi, Abhay, et al.
Publicado: (2019)