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Long‐term adverse neurodevelopmental outcomes of discordant twins delivered at term: A nationwide population‐based study

BJOG : an international journal of obstetrics and gynaecology, 2023-10, Vol.130 (11), p.1370-1378

2023

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Association between early preterm birth and maternal exposure to fine particular matter (PM10): A nation-wide population-based cohort study using machine learning

PloS one, 2023-08, Vol.18 (8), p.e0289486-e0289486

2023

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Machine learning analysis for the association between breast feeding and metabolic syndrome in women

Scientific reports, 2024-02, Vol.14 (1), p.4138-4138, Article 4138

2024

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Ultrasonographic monitoring of fetal eye growth parameters throughout gestation in the common marmoset (Callithrix jacchus)

American journal of primatology, 2023-09, Vol.85 (9), p.e23532-n/a

2023

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Preterm birth and maternal heart disease: A machine learning analysis using the Korean national health insurance database

PloS one, 2023-03, Vol.18 (3), p.e0283959-e0283959

2023

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Long-term cardiovascular outcome in women with preeclampsia in Korea: a large population-based cohort study and meta-analysis

Scientific reports, 2024-03, Vol.14 (1), p.7480-7480, Article 7480

2024

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Ultrasonographic assessment of abnormal fetal growth related to uteroplacental-fetal biometrics and Doppler (U-AID) indices: Protocol for multicenter retrospective cohort study trial

PloS one, 2024-02, Vol.19 (2), p.e0298060-e0298060

2024

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Association between breastfeeding duration and diabetes mellitus in menopausal women: a machine-learning analysis using population-based retrospective study

International breastfeeding journal, 2024-05, Vol.19 (1), p.33-33, Article 33

2024

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Exploring the Utility of remimazolam in cesarean sections under general anesthesia: A preliminary retrospective analysis and Implications for future study

Heliyon, 2024-04, Vol.10 (7), p.e28485-e28485, Article e28485

2024

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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

Life (Basel, Switzerland), 2022-08, Vol.12 (9), p.1329

2022

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Machine learning analysis with population data for prepregnancy and perinatal risk factors for the neurodevelopmental delay of offspring

Scientific reports, 2024-06, Vol.14 (1), p.13993-8, Article 13993

2024

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Author Correction: Machine learning analysis for the association between breast feeding and metabolic syndrome in women

Scientific reports, 2024-03, Vol.14 (1), p.7146-7146, Article 7146

2024

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Associations of Preterm Birth with Dental and Gastrointestinal Diseases: Machine Learning Analysis Using National Health Insurance Data

International journal of environmental research and public health, 2023-01, Vol.20 (3), p.1732

2023

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Development of early prediction model for pregnancy-associated hypertension with graph-based semi-supervised learning

Scientific reports, 2022-09, Vol.12 (1), p.15793-15793, Article 15793

2022

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Patient blood management to minimize transfusions during the postpartum period

Obstetrics & gynecology science, 2023-11, Vol.66 (6), p.484-497

2023

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Impact of COVID-19 on pregnant women in South Korea: Focusing on prevalence, severity, and clinical outcomes

Journal of infection and public health, 2022-02, Vol.15 (2), p.270-276

2022

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The Skin Antiseptic agents at Vaginal dElivery (SAVE) trial: study protocol for a randomized controlled trial

Trials, 2023-02, Vol.24 (1), p.130-130, Article 130

2023

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Nonalcoholic fatty liver disease and early prediction of gestational diabetes mellitus using machine learning methods

Clinical and Molecular Hepatology, 2022, 28(1), , pp.105-116

2022

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Patient blood management to minimize transfusions during the postpartum period

Obstetrics & gynecology science, 2023-11, Vol.66 (6), p.484

2023

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Association between early preterm birth and maternal exposure to fine particular matter

PloS one, 2023-08, Vol.18 (8), p.e0289486

2023

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Nonalcoholic fatty liver disease and early prediction of gestational diabetes mellitus using machine learning methods

Clinical and molecular hepatology, 2022-01, Vol.28 (1), p.105-116

2022

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Contraction inhibitory effect of micro-electrical stimulation in human uterine muscle tissue

American journal of obstetrics and gynecology, 2023-01, Vol.228 (1), p.S511-S511

2023

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Comparison of performances between NIPT platforms for screening of common fetal trisomies by cell-free DNA

American journal of obstetrics and gynecology, 2022-01, Vol.226 (1), p.S516-S516

2022

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Ultrasonographic assessment of abnormal fetal growth related to uteroplacental-fetal biometrics and Doppler

PloS one, 2024-02, Vol.19 (2), p.e0298060

2024

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Metabolic Dysfunction-Associated Fatty Liver Disease and Subsequent Development of Adverse Pregnancy Outcomes

Clinical gastroenterology and hepatology, 2022-11, Vol.20 (11), p.2542-2550.e8

2022

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Long‐term adverse neurodevelopmental outcomes of discordant twins delivered at term: A nationwide population‐based study

Association between early preterm birth and maternal exposure to fine particular matter (PM10): A nation-wide population-based cohort study using machine learning

Machine learning analysis for the association between breast feeding and metabolic syndrome in women

Ultrasonographic monitoring of fetal eye growth parameters throughout gestation in the common marmoset (Callithrix jacchus)

Preterm birth and maternal heart disease: A machine learning analysis using the Korean national health insurance database

Long-term cardiovascular outcome in women with preeclampsia in Korea: a large population-based cohort study and meta-analysis

Ultrasonographic assessment of abnormal fetal growth related to uteroplacental-fetal biometrics and Doppler (U-AID) indices: Protocol for multicenter retrospective cohort study trial

Association between breastfeeding duration and diabetes mellitus in menopausal women: a machine-learning analysis using population-based retrospective study

Exploring the Utility of remimazolam in cesarean sections under general anesthesia: A preliminary retrospective analysis and Implications for future study

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

Machine learning analysis with population data for prepregnancy and perinatal risk factors for the neurodevelopmental delay of offspring

Author Correction: Machine learning analysis for the association between breast feeding and metabolic syndrome in women

Associations of Preterm Birth with Dental and Gastrointestinal Diseases: Machine Learning Analysis Using National Health Insurance Data

Development of early prediction model for pregnancy-associated hypertension with graph-based semi-supervised learning

Patient blood management to minimize transfusions during the postpartum period

Impact of COVID-19 on pregnant women in South Korea: Focusing on prevalence, severity, and clinical outcomes

The Skin Antiseptic agents at Vaginal dElivery (SAVE) trial: study protocol for a randomized controlled trial

Nonalcoholic fatty liver disease and early prediction of gestational diabetes mellitus using machine learning methods

Patient blood management to minimize transfusions during the postpartum period

Association between early preterm birth and maternal exposure to fine particular matter

Nonalcoholic fatty liver disease and early prediction of gestational diabetes mellitus using machine learning methods

Contraction inhibitory effect of micro-electrical stimulation in human uterine muscle tissue

Comparison of performances between NIPT platforms for screening of common fetal trisomies by cell-free DNA

Ultrasonographic assessment of abnormal fetal growth related to uteroplacental-fetal biometrics and Doppler

Metabolic Dysfunction-Associated Fatty Liver Disease and Subsequent Development of Adverse Pregnancy Outcomes

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