Amanote Research
Register
Sign In
Prediction of Gestational Age at Birth Using an Artificial Neural Networks in Singleton Preterm Birth
JOURNAL OF THE KOREAN SOCIETY OF MATERNAL AND CHILD HEALTH
doi 10.21896/jksmch.2018.22.3.151
Full Text
Open PDF
Abstract
Available in
full text
Date
September 1, 2018
Authors
Unknown
Publisher
The Korean Society of Maternal and Child Health
Related search
OP10.06: Prediction of Preterm Birth and Small-For-Gestational-Age Neonates by Fetal Biometry at 19-24 Gestational Weeks
Ultrasound in Obstetrics and Gynecology
Nuclear Medicine
Radiology
Ultrasound Technology
Gynecology
Reproductive Medicine
Radiological
Imaging
Obstetrics
Medicine
Neural Language Networks at Birth
Proceedings of the National Academy of Sciences of the United States of America
Multidisciplinary
Rapid Assessment of Gestational Age at Birth
Obstetrical and Gynecological Survey
Medicine
Gynecology
Obstetrics
Bed Rest in Singleton Pregnancies for Preventing Preterm Birth
Refractive Status at Birth: Its Relation to Newborn Physical Parameters at Birth and Gestational Age
PLoS ONE
Multidisciplinary
Diagnostic Accuracy of Individual Antenatal Tools for Prediction of Small-For-Gestational Age at Birth
Ultrasound in Obstetrics and Gynecology
Nuclear Medicine
Radiology
Ultrasound Technology
Gynecology
Reproductive Medicine
Radiological
Imaging
Obstetrics
Medicine
Prior Preterm or Small-For-Gestational-Age Birth Related to Maternal Metabolic Syndrome
Obstetrics and Gynecology
Gynecology
Obstetrics
EP14.17: Fetal Abdominal Circumference in the Second Trimester and Prediction of Small-For-Gestational Age at Birth
Ultrasound in Obstetrics and Gynecology
Nuclear Medicine
Radiology
Ultrasound Technology
Gynecology
Reproductive Medicine
Radiological
Imaging
Obstetrics
Medicine
Antenatal Glucocorticoids, Magnesium Sulfate, and Mode of Birth in Preterm Fetal Small for Gestational Age
American Journal of Obstetrics and Gynecology
Gynecology
Obstetrics