Works matching AU Choi, Eun‐Saem
Results: 15
Machine learning analysis with population data for prepregnancy and perinatal risk factors for the neurodevelopmental delay of offspring.
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- Scientific Reports, 2024, v. 14, n. 1, p. 1, doi. 10.1038/s41598-024-64590-8
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- Article
Author Correction: Machine learning analysis for the association between breast feeding and metabolic syndrome in women.
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- Scientific Reports, 2024, v. 14, n. 1, p. 1, doi. 10.1038/s41598-024-57571-4
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- Article
Machine learning analysis for the association between breast feeding and metabolic syndrome in women.
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- Scientific Reports, 2024, v. 14, n. 1, p. 1, doi. 10.1038/s41598-024-53137-6
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- Article
Machine learning analysis for the association between breast feeding and metabolic syndrome in women.
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- Scientific Reports, 2024, v. 14, n. 1, p. 1, doi. 10.1038/s41598-024-53137-6
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- Publication type:
- Article
Ultrasonographic assessment of abnormal fetal growth related to uteroplacental-fetal biometrics and Doppler (U-AID) indices: Protocol for multicenter retrospective cohort study trial.
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- PLoS ONE, 2024, v. 19, n. 2, p. 1, doi. 10.1371/journal.pone.0298060
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- Article
Real-time Classification of Fetal Status Based on Deep Learning and Cardiotocography Data.
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- Journal of Medical Systems, 2023, v. 47, n. 1, p. 1, doi. 10.1007/s10916-023-01960-1
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- Article
Association between breastfeeding duration and diabetes mellitus in menopausal women: a machine-learning analysis using population-based retrospective study.
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- International Breastfeeding Journal, 2024, v. 19, n. 1, p. 1, doi. 10.1186/s13006-024-00642-z
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- Article
The Skin Antiseptic agents at Vaginal dElivery (SAVE) trial: study protocol for a randomized controlled trial.
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- Trials, 2023, v. 24, n. 1, p. 1, doi. 10.1186/s13063-023-07101-w
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- Article
Ultrasonographic monitoring of fetal eye growth parameters throughout gestation in the common marmoset (Callithrix jacchus).
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- American Journal of Primatology, 2023, v. 85, n. 9, p. 1, doi. 10.1002/ajp.23532
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- Article
Association between early preterm birth and maternal exposure to fine particular matter (PM<sub>10</sub>): A nation-wide population-based cohort study using machine learning.
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- PLoS ONE, 2023, v. 18, n. 8, p. 1, doi. 10.1371/journal.pone.0289486
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- Article
Preterm birth and maternal heart disease: A machine learning analysis using the Korean national health insurance database.
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- PLoS ONE, 2023, v. 18, n. 3, p. 1, doi. 10.1371/journal.pone.0283959
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- Article
Associations of Preterm Birth with Dental and Gastrointestinal Diseases: Machine Learning Analysis Using National Health Insurance Data.
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- International Journal of Environmental Research & Public Health, 2023, v. 20, n. 3, p. 1732, doi. 10.3390/ijerph20031732
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- Article
Long‐term adverse neurodevelopmental outcomes of discordant twins delivered at term: A nationwide population‐based study.
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- BJOG: An International Journal of Obstetrics & Gynaecology, 2023, v. 130, n. 11, p. 1370, doi. 10.1111/1471-0528.17494
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- Article
Development of early prediction model for pregnancy-associated hypertension with graph-based semi-supervised learning.
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- Scientific Reports, 2022, v. 12, n. 1, p. N.PAG, doi. 10.1038/s41598-022-15391-4
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- Article
Preterm Labor and Preterm-PROM at a Lower Gestational Age Are Associated with a Longer Latency-to-Delivery Even in Patients with the Same Intensity of Intra-Amniotic Inflammation: "Carroll-Model" Revisited.
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- Life (2075-1729), 2022, v. 12, n. 9, p. 1329, doi. 10.3390/life12091329
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- Article