Prediction of uterine dehiscence via machine learning by using lower uterine segment thickness and clinical features

BACKGROUND: With the global increase of cesarean delivery rates, the long-term effects of cesarean delivery have started to become clearer. One of the most prominent complications of cesarean delivery in recurrent pregnancies is uterine rupture. Assessing the risk of uterine rupture by accurately pr...

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Detalles Bibliográficos
Autores principales: Kement, Mervenur, Kement, Cihan Emre, Kokanali, Mahmut Kuntay, Doganay, Melike
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9758335/
https://www.ncbi.nlm.nih.gov/pubmed/36536838
http://dx.doi.org/10.1016/j.xagr.2022.100085

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9758335/
https://www.ncbi.nlm.nih.gov/pubmed/36536838
http://dx.doi.org/10.1016/j.xagr.2022.100085

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