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...

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Detalles Bibliográficos
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:
Original Research
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

Internet

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

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