AIMC Topic: Gestational Age

Clear Filters Showing 91 to 100 of 136 articles

Enhanced early prediction of clinically relevant neonatal hyperbilirubinemia with machine learning.

Pediatric research Mar 31, 2019
BACKGROUND: Machine learning models may enhance the early detection of clinically relevant hyperbilirubinemia based on patient information available in every hospital.
Machine Learning Retrospective Studies Female Infant, Newborn Sensitivity and Specificity Humans Internet Phototherapy Bilirubin Infant, Premature Gestational Age Hyperbilirubinemia, Neonatal Male ROC Curve Longitudinal Studies Regression Analysis Area Under Curve
View on PubMed DOI

Assessment of ovulation synchronization protocols in goats and use of pregnancy specific protein B (PSPB) enzyme linked immunsorbent assay (ELISA) to determine kid number at birth.

Domestic animal endocrinology Nov 30, 2018
The efficacy of several protocols for ovulation synchronization and timed artificial insemination (TAI) in goats was examined. In addition, the relationship between levels of pregnancy specific protein B (PSPB) during gestation assessed with a commer...
Delayed-Action Preparations Dinoprost Enzyme-Linked Immunosorbent Assay Equipment Reuse Pregnancy Female Ovulation Estrus Synchronization Goats Drug Delivery Systems Pregnancy-Specific beta 1-Glycoproteins Litter Size Gonadotropin-Releasing Hormone Animals Insemination, Artificial Progesterone Gestational Age Pregnancy Outcome
View on PubMed DOI

Arterial stiffness in normal pregnancy as assessed by digital pulse wave analysis by photoplethysmography - A longitudinal study.

Pregnancy hypertension Nov 13, 2018
INTRODUCTION: It might in the future be valuable to screen for increased maternal arterial stiffness, i.e. low compliance, since it is associated with development of hypertensive complications in pregnancy. Digital pulse wave analysis (DPA) is an eas...
Arterial Pressure Analysis of Variance Gestational Age Photoplethysmography Maternal Age Humans Longitudinal Studies Pregnancy Vascular Stiffness Female Pulse Wave Analysis Parity Reference Values Adult
View on PubMed DOI

Automated retinopathy of prematurity screening using deep neural networks.

EBioMedicine Aug 27, 2018
BACKGROUND: Retinopathy of prematurity (ROP) is the leading cause of childhood blindness worldwide. Automated ROP detection system is urgent and it appears to be a safe, reliable, and cost-effective complement to human experts.
Databases as Topic Automation Gestational Age Retinopathy of Prematurity Humans Neural Networks, Computer Algorithms Infant Deep Learning ROC Curve Image Processing, Computer-Assisted Mass Screening Birth Weight Internet
View on PubMed DOI

Application of machine-learning to predict early spontaneous preterm birth among nulliparous non-Hispanic black and white women.

Annals of epidemiology Aug 24, 2018
PURPOSE: Spontaneous preterm birth is a leading cause of perinatal mortality in the United States, occurring disproportionately among non-Hispanic black women compared to other race-ethnicities. Clinicians lack tools to identify first-time mothers at...
Humans Machine Learning Retrospective Studies Pregnancy White People Female Gestational Age Premature Birth California Parity Black or African American ROC Curve Birth Certificates Predictive Value of Tests
View on PubMed DOI

Estimating risk of severe neonatal morbidity in preterm births under 32 weeks of gestation.

The journal of maternal-fetal & neonatal medicine : the official journal of the European Association of Perinatal Medicine, the Federation of Asia and Oceania Perinatal Societies, the International Society of Perinatal Obstetricians Jul 18, 2018
A large recent study analyzed the relationship between multiple factors and neonatal outcome and in preterm births. Study variables included the reason for admission, indication for delivery, optimal steroid use, gestational age, and other potential...
Risk Assessment Infant Severity of Illness Index Predictive Value of Tests Morbidity Infant, Newborn Premature Birth Risk Factors Adult Male Diagnostic Techniques, Obstetrical and Gynecological Infant, Small for Gestational Age Probability Infant Mortality Gestational Age Stillbirth Infant, Premature, Diseases Humans Machine Learning Prospective Studies Prognosis Pregnancy Female
View on PubMed DOI

Fully-automated alignment of 3D fetal brain ultrasound to a canonical reference space using multi-task learning.

Medical image analysis Feb 21, 2018
Methods for aligning 3D fetal neurosonography images must be robust to (i) intensity variations, (ii) anatomical and age-specific differences within the fetal population, and (iii) the variations in fetal position. To this end, we propose a multi-tas...
Imaging, Three-Dimensional Image Processing, Computer-Assisted Neuroimaging Gestational Age Brain Pregnancy Female Adult Ultrasonography, Prenatal Humans Neural Networks, Computer Algorithms
View on PubMed DOI

Early prediction of cognitive deficits in very preterm infants using functional connectome data in an artificial neural network framework.

NeuroImage. Clinical Jan 31, 2018
Investigation of the brain's functional connectome can improve our understanding of how an individual brain's organizational changes influence cognitive function and could result in improved individual risk stratification. Brain connectome studies in...
Connectome Neuropsychological Tests Brain Female Male Infant Infant, Extremely Premature Oxygen Cognition Disorders Gestational Age Humans Image Processing, Computer-Assisted Support Vector Machine Neural Networks, Computer Magnetic Resonance Imaging
View on PubMed DOI

17-hydroxiprogesterone values in healthy preterm infants.

Colombia medica (Cali, Colombia) Dec 30, 2017
INTRODUCTION: In preterm newborn, problems with the interpretation of 17-OHP may occur.
Infant, Premature Male Neonatal Screening Cohort Studies Gestational Age Enzyme-Linked Immunosorbent Assay 17-alpha-Hydroxyprogesterone Longitudinal Studies Adrenal Hyperplasia, Congenital Follow-Up Studies Birth Weight Humans Female Infant, Newborn
View on PubMed DOI

Key Clinical Factors Predicting Adipokine and Oxidative Stress Marker Concentrations among Normal, Overweight and Obese Pregnant Women Using Artificial Neural Networks.

International journal of molecular sciences Dec 28, 2017
Maternal obesity has been related to adverse neonatal outcomes and fetal programming. Oxidative stress and adipokines are potential biomarkers in such pregnancies; thus, the measurement of these molecules has been considered critical. Therefore, we d...
Adult Severity of Illness Index Case-Control Studies Oxidative Stress Malondialdehyde Body Mass Index Age Factors Obesity DNA Gene Expression Humans Neural Networks, Computer Biomarkers Resistin Pregnancy Pregnancy Trimester, Third 8-Hydroxy-2'-Deoxyguanosine Female Deoxyguanosine Protein Carbonylation Leptin Adiponectin Gestational Age
View on PubMed DOI
Popular Topics
Recent Journals