Pilot study of the capabilities of neural network data analysis in predicting placental disorders: A prospective study
Background. Placental disorders underlie the development of a large number of pregnancy complications, such as growth retardation, fetal hypoxia and distress, preeclampsia, etc. Fetal hypoxia occurs in 10% of all pregnancies and is the cause of perinatal losses in 40% of cases. Uteroplacental hypoxi...
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| Main Authors: | Tatiana E. Belokrinitskaya, Viktor A. Mudrov, Elena S. Nabieva, Andrey S. Nadzhaf-Zade, Antonina S. Zhykharieva, Islom I. Dzhurabaev |
|---|---|
| Format: | Article |
| Language: | Russian |
| Published: |
IP Berlin A.V.
2025-01-01
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| Series: | Гинекология |
| Subjects: | |
| Online Access: | https://gynecology.orscience.ru/2079-5831/article/viewFile/658376/199570 |
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