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Prediction of Intrauterine Growth Restriction and Preeclampsia Using Machine Learning-Based Algorithms: A Prospective Study
(1) Background: Prenatal care providers face a continuous challenge in screening for
intrauterine growth restriction (IUGR) and preeclampsia (PE). In this study, we aimed to …
intrauterine growth restriction (IUGR) and preeclampsia (PE). In this study, we aimed to …
[HTML][HTML] Predicting intra-and postpartum hemorrhage through artificial intelligence
Background and Objectives: Intra/postpartum hemorrhage stands as a significant obstetric
emergency, ranking among the top five leading causes of maternal mortality. The aim of this …
emergency, ranking among the top five leading causes of maternal mortality. The aim of this …
Epigenetic alterations in preeclampsia: a focus on microRNA149 and tetrahydrofolate reductase gene polymorphisms in Egyptian women
Background Preeclampsia (PE) poses a substantial risk to prenatal and maternal health.
Folic acid (FA) and methylenetetrahydrofolate reductase (MTHFR) play roles in DNA …
Folic acid (FA) and methylenetetrahydrofolate reductase (MTHFR) play roles in DNA …
[HTML][HTML] Predicting unfavorable pregnancy outcomes in polycystic ovary syndrome (PCOS) patients using machine learning algorithms
Background and Objectives: Polycystic ovary syndrome (PCOS) is a complex disorder that
can negatively impact the obstetrical outcomes. The aim of this study was to determine the …
can negatively impact the obstetrical outcomes. The aim of this study was to determine the …
Machine Learning-Based Algorithms for Enhanced Prediction of Local Recurrence and Metastasis in Low Rectal Adenocarcinoma Using Imaging, Surgical, and …
(1) Background: Numerous variables could influence the risk of rectal cancer recurrence or
metastasis, and machine learning (ML)-based algorithms can help us refine the risk …
metastasis, and machine learning (ML)-based algorithms can help us refine the risk …
[HTML][HTML] Predicting Adverse Neurodevelopmental Outcomes in Premature Neonates with Intrauterine Growth Restriction Using a Three-Layered Neural Network
Background/Objectives: There is a constant need to improve the prediction of adverse
neurodevelopmental outcomes in growth-restricted neonates who were born prematurely …
neurodevelopmental outcomes in growth-restricted neonates who were born prematurely …
FACTORES DE RIESGO ASOCIADOS EN EL DESARROLLO DE SÍNDROME HELLP EN GESTANTES ATENDIDAS EN EL INSTITUTO NACIONAL MATERNO …
S Rojas-Vargas - Revista Peruana de …, 2024 - … .inmp.gob.pe
Objetivo. Determinar los factores de riesgo en el desarrollo de Síndrome HELLP en
gestantes atendidas en el Instituto Nacional Materno Perinatal, 2018-2021. Materiales y …
gestantes atendidas en el Instituto Nacional Materno Perinatal, 2018-2021. Materiales y …
[PDF][PDF] Machine Learning-Based Prediction of Intrauterine Growth Restriction and Preeclampsia: A Prospective Study
IS Scripcariu, IA Vasilache, I Pavaleanu, B Doroftei… - 2023 - preprints.org
(1) Background: The screening of preeclampsia (PE) and intrauterine growth restriction
(IUGR) represents a constant challenge for obstetricians. The aim of this study was to …
(IUGR) represents a constant challenge for obstetricians. The aim of this study was to …
[PDF][PDF] Fresh vs. frozen embryo transfers in patients with KIR Bx haplotype: impact on reproductive outcomes.
OBJECTIVE: A controversy persists over whether or not the type of embryo transfer (ET)
influences reproductive outcomes. This study aimed to evaluate the reproductive outcomes …
influences reproductive outcomes. This study aimed to evaluate the reproductive outcomes …
Role of artificial intelligence in the early detection of thrombocytopenia: An approach to improve health of pregnant women
Thrombocytopenia, which is a blood disorder with a 7–12% frequency of platelet
insufficiency, is frequently detected by obstetricians during normal surveillance during …
insufficiency, is frequently detected by obstetricians during normal surveillance during …