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Author

Yu. S. Boldina

Observed name: Yu.S. Boldina
Observed institution: Petrozavodsk State University
ORCID: 0000-0002-1450-650X
Observed ORCID: 0000-0002-1450-650X
OpenAlex ID: A5017315803
The role of artificial intelligence in predicting preterm birth
2021 · A.A. Ivshin, Yu.S. Boldina, et al. · Russian Journal of Human Reproduction · 4
Machine learning opportunities to predict obstetric haemorrhages
2024 · Yu. S. Boldina, A. A. Ivshin · Obstetrics Gynecology and Reproduction · 3
Comparative effectiveness of eight machine learning algorithms and the FMF competing risks model for first-trimester preeclampsia prediction: a multicenter cohort study with external validation
2026 · A. A. Ivshin, Yu. S. Boldina, et al. · Obstetrics Gynecology and Reproduction · 1
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From data to prediction: development and clinical validation of a preterm birth risk assessment tool based on machine learning technologies
2025 · Yu. S. Boldina, A. A. Ivshin, et al. · Obstetrics Gynecology and Reproduction · 1
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Incremental value of biophysical and biochemical first trimester markers for predicting early and late preeclampsia: a nested model analysis
2026 · A. A. Ivshin, Yu. S. Boldina, et al. · Obstetrics Gynecology and Reproduction
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Works count: 5
Citation count: 9
H-index: 2
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