Electrical and Mechanical Modeling of Uterine Contractions Analysis Using Connectivity Methods and Graph Theory [PDF]
arXivPremature delivery is a leading cause of fetal death and morbidity, making the prediction and treatment of preterm contractions critical. The electrohysterographic (EHG) signal measures the electrical activity controlling uterine contraction. Analyzing EHG features can provide valuable insights for labor detection. In this paper, we propose a framework
arxiv
Using Kernel Methods and Model Selection for Prediction of Preterm Birth [PDF]
arXiv, 2016 We describe an application of machine learning to the problem of predicting preterm birth. We conduct a secondary analysis on a clinical trial dataset collected by the National In- stitute of Child Health and Human Development (NICHD) while focusing our attention on predicting different classes of preterm birth. We compare three approaches for deriving
arxiv
Neonatal Neutrophil Activation Is a Function of Labor Length in Preterm Infants [PDF]
, 1998 Nancy P. Weinschenk +2 more
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Review on Prostaglandin and Oxytocin Activity in Preterm Labor [PDF]
, 2001 The principal difference between term and preterm labor is how they are activated. It has been proposed that term labor results from physiological activation of the common terminal pathway, whereas preterm labor is a pathological condition caused by ...
D. Buković +2 more
core +1 more source
Maternal and fetal T cells in term pregnancy and preterm labor
Cellular & Molecular Immunology, 2020 Derek Miller +4 more
semanticscholar +1 more source
Maternal and Fetal Health Status Assessment by Using Machine Learning on Optical 3D Body Scans [PDF]
arXivMonitoring maternal and fetal health during pregnancy is crucial for preventing adverse outcomes. While tests such as ultrasound scans offer high accuracy, they can be costly and inconvenient. Telehealth and more accessible body shape information provide pregnant women with a convenient way to monitor their health.
arxiv
Monitoring Women at Risk for Preterm Labor [PDF]
, 1998 Donald C. Dyson +9 more
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Hidden Markov Models for sepsis detection in preterm infants [PDF]
arXiv, 2019 We explore the use of traditional and contemporary hidden Markov models (HMMs) for sequential physiological data analysis and sepsis prediction in preterm infants. We investigate the use of classical Gaussian mixture model based HMM, and a recently proposed neural network based HMM.
arxiv
Expression of Myometrial Activation and Stimulation Genes in a Mouse Model of Preterm Labor: Myometrial Activation, Stimulation, and Preterm Labor [PDF]
, 2000 Jocelynn L. Cook +3 more
openalex +1 more source
Predictive value of serum interleukin‐6 and ‐8 levels in preterm labor or rupture of the membranes [PDF]
, 2000 Gϋnter von Minckwitz +6 more
openalex +1 more source