A neural network for predicting occurrence of uterine fibroids in women of reproductive age
Aim: to create a model for predicting emergence of uterine leiomyoma (UL) using neural network analysis of risk factors and to evaluate its prognostic characteristics.Materials and Methods. A retrospective case-control study with 209 patients aged 20–47 years was performed covering the years from 20...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | Russian |
| Published: |
IRBIS LLC
2025-05-01
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| Series: | Акушерство, гинекология и репродукция |
| Subjects: | |
| Online Access: | https://www.gynecology.su/jour/article/view/2427 |
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