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Open AccessMachine learning analysis with population data for prepregnancy and perinatal risk factors for the neurodevelopmental delay of offspring
Neurodevelopmental disorders (NDD) in offspring are associated with a complex combination of pre-and postnatal factors. This study uses machine learning and population data to evaluate the association between ...
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Article
Open AccessAssociation between breastfeeding duration and diabetes mellitus in menopausal women: a machine-learning analysis using population-based retrospective study
Breastfeeding resets insulin resistance caused by pregnancy however, studies on the association between breastfeeding and diabetes mellitus (DM) have reported inconsistent results. Therefore, we aimed to inves...
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Article
Open AccessLong-term cardiovascular outcome in women with preeclampsia in Korea: a large population-based cohort study and meta-analysis
Recent studies reported the long-term cardiovascular risk of preeclampsia. However, only a few studies have investigated the association between preeclampsia and long-term cardiovascular disease in Asian popul...
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Open AccessAuthor Correction: Machine learning analysis for the association between breast feeding and metabolic syndrome in women
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Open AccessMachine learning analysis for the association between breast feeding and metabolic syndrome in women
This cross-sectional study aimed to develop and validate population-based machine learning models for examining the association between breastfeeding and metabolic syndrome in women. The artificial neural netw...
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Real-time Classification of Fetal Status Based on Deep Learning and Cardiotocography Data
This study uses convolutional neural networks (CNNs) and cardiotocography data for the real-time classification of fetal status in the mobile application of a pregnant woman and the computer server of a data e...
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Open AccessThe Skin Antiseptic agents at Vaginal dElivery (SAVE) trial: study protocol for a randomized controlled trial
Cleansing of the vulva and perineum is recommended during preparation for vaginal delivery, and special attention is paid to cleansing before episiotomy because episiotomy is known to increase the risk of peri...
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Article
Open AccessDevelopment of early prediction model for pregnancy-associated hypertension with graph-based semi-supervised learning
Clinical guidelines recommend several risk factors to identify women in early pregnancy at high risk of develo** pregnancy-associated hypertension. However, these variables result in low predictive accuracy....
