Results 91 to 100 of about 476,784 (360)
Spontaneous preterm birth prediction using convolutional neural networks [PDF]
arXiv, 2020 An estimated 15 million babies are born too early every year. Approximately 1 million children die each year due to complications of preterm birth (PTB). Many survivors face a lifetime of disability, including learning disabilities and visual and hearing problems.
arxiv
Multi-feature classifiers for burst detection in single EEG channels from preterm infants [PDF]
, 2017 The study of electroencephalographic (EEG) bursts in preterm infants provides valuable information about maturation or prognostication after perinatal asphyxia. Over the last two decades, a number of works proposed algorithms to automatically detect EEG bursts in preterm infants, but they were designed for populations under 35 weeks of post menstrual ...
arxiv +1 more source
British Journal of Clinical Pharmacology, EarlyView.Aims This study aimed to analyse clinical trial initial submissions received by the MHRA between February 2019 and October 2023. Methods Data on submissions were extracted from the clinical trials unit data bank. The primary end‐point was the type of clinical trial initial submissions.
Andrea Manfrin +4 more
wiley +1 more source
BLDE University Journal of Health Sciences, 2020 Background: Patent ductus arteriosus (PDA) is a common disease in premature neonates, which could occur in up to 50% of the VLBW neonates. PDA might induce hemodynamic and respiratory disorders and increase mortality and morbidity.
Siddu Charki +4 more
doaj +1 more source
Preterm Birth Analysis Using Nonlinear Methods (a preliminary study) [PDF]
arXiv, 2008 In this report we review modern nonlinearity methods that can be used in the preterm birth analysis. The nonlinear analysis of uterine contraction signals can provide information regarding physiological changes during the menstrual cycle and pregnancy.
arxiv
A Deep Generative Model of Neonatal Cortical Surface Development [PDF]
arXiv, 2022 The neonatal cortical surface is known to be affected by preterm birth, and the subsequent changes to cortical organisation have been associated with poorer neurodevelopmental outcomes. Deep Generative models have the potential to lead to clinically interpretable models of disease, but developing these on the cortical surface is challenging since ...
arxiv
Allostatic load and preterm birth [PDF]
, 2015 Preterm birth is a universal health problem that is one of the largest unmet medical needs contributing to the global burden of disease. Adding to its complexity is that there are no means to predict who is at risk when pregnancy begins or when women ...
McCreary, J Keiko +5 more
core +3 more sources
Prescription drug use in breastfeeding mothers and infant exposure: A register‐based cohort study
British Journal of Clinical Pharmacology, EarlyView.Abstract Aims Breast milk is the optimal infant nutrition; however, many infants may be exposed to prescription drugs if used by their mothers during breastfeeding. The aim of this study was to evaluate the prevalence and patterns of prescription drug use among breastfeeding mothers and to assess the availability of relative infant dose information for
Ditte Resendal Gotfredsen +5 more
wiley +1 more source
BLDE University Journal of Health Sciences, 2020 Background: Most newborns in NICU would be on respiratory support either on invasive or non-invasive ventilation and it is difficult to measure anthropometries like weight, length and head circumference in these sick newborns.
Tanmaya Tyagraj +6 more
doaj +1 more source
Application of signal processing techniques in the assessment of clinical risks in preterm infants [PDF]
arXiv, 2014 Preterm infants with very low birth weight suffer from a high risk of intra-ventricular hemorrhage(IVH) and other serious diseases. To improve the clinical risk assessment of preterm infants and develop potential clinically makers for the adverse outcome, the first part of the paper develops the frequency spectral analysis on the non-invasively ...
arxiv