Interpreting the role of nuchal fold for fetal growth restriction prediction using machine learning
Published 2022 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Interpreting the role of nuchal fold for fetal growth restriction prediction using machine learning
Authors
Keywords
-
Journal
Scientific Reports
Volume 12, Issue 1, Pages -
Publisher
Springer Science and Business Media LLC
Online
2022-03-10
DOI
10.1038/s41598-022-07883-0
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Machine Learning Improves Early Prediction of Small‐for‐Gestational‐Age Births and Reveals Nuchal Fold Thickness as Unexpected Predictor
- (2021) Shier Nee SAW et al. PRENATAL DIAGNOSIS
- Machine learning assisted hybrid models can improve streamflow simulation in diverse catchments across the conterminous US
- (2020) Goutam Konapala et al. Environmental Research Letters
- Visualizing the effects of predictor variables in black box supervised learning models
- (2020) Daniel W. Apley et al. JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY
- Predicting personality from patterns of behavior collected with smartphones
- (2020) Clemens Stachl et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Competing‐risks model for prediction of small‐for‐gestational‐age neonate from maternal characteristics and medical history
- (2020) I. Papastefanou et al. ULTRASOUND IN OBSTETRICS & GYNECOLOGY
- Interpretability of machine learning‐based prediction models in healthcare
- (2020) Gregor Stiglic et al. Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery
- Prediction of Preeclampsia and Intrauterine Growth Restriction: Development of Machine Learning Models on a Prospective Cohort
- (2020) Herdiantri Sufriyana et al. JMIR Medical Informatics
- Competing‐risks model for prediction of small‐for‐gestational‐age neonates from maternal characteristics, serum PAPP‐A and PlGF at 11‐13 weeks’ gestation
- (2020) I. Papastefanou et al. ULTRASOUND IN OBSTETRICS & GYNECOLOGY
- Prediction of small for gestational age neonates: screening by maternal factors, fetal biometry, and biomarkers at 35–37 weeks’ gestation
- (2019) Anca Ciobanu et al. AMERICAN JOURNAL OF OBSTETRICS AND GYNECOLOGY
- Artificial intelligence and the analysis of multi-platform metabolomics data for the detection of intrauterine growth restriction
- (2019) Ray Oliver Bahado-Singh et al. PLoS One
- Mid-20th century warming hole boosts U.S. maize yields
- (2019) Trevor F Partridge et al. Environmental Research Letters
- Integrating machine learning techniques and physiology based heart rate features for antepartum fetal monitoring
- (2019) Maria G. Signorini et al. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
- The INTERGROWTH-21 st fetal growth standards: toward the global integration of pregnancy and pediatric care
- (2018) Aris T. Papageorghiou et al. AMERICAN JOURNAL OF OBSTETRICS AND GYNECOLOGY
- Consensus Based Definition of Growth Restriction in the Newborn
- (2018) Irene M. Beune et al. JOURNAL OF PEDIATRICS
- First-trimester and combined first- and second-trimester prediction of small-for-gestational age and fetuses with late growth restriction
- (2018) Alexandros Sotiriadis et al. ULTRASOUND IN OBSTETRICS & GYNECOLOGY
- The fetal brain sparing response to hypoxia: physiological mechanisms
- (2016) Dino A. Giussani JOURNAL OF PHYSIOLOGY-LONDON
- Mid-pregnancy fetal biometry, uterine artery Doppler indices and maternal demographic characteristics: role in prediction of small-for-gestational-age birth
- (2015) Alessandra Familiari et al. ACTA OBSTETRICIA ET GYNECOLOGICA SCANDINAVICA
- Prediction of small-for-gestational-age neonates: screening by uterine artery Doppler and mean arterial pressure at 19-24 weeks
- (2015) C. Lesmes et al. ULTRASOUND IN OBSTETRICS & GYNECOLOGY
- International standards for fetal growth based on serial ultrasound measurements: the Fetal Growth Longitudinal Study of the INTERGROWTH-21st Project
- (2014) Aris T Papageorghiou et al. LANCET
- Resampling Methods Improve the Predictive Power of Modeling in Class-Imbalanced Datasets
- (2014) Paul Lee International Journal of Environmental Research and Public Health
- ISUOG Practice Guidelines: use of Doppler ultrasonography in obstetrics
- (2013) ULTRASOUND IN OBSTETRICS & GYNECOLOGY
- ISUOG Practice Guidelines: performance of first-trimester fetal ultrasound scan
- (2012) ULTRASOUND IN OBSTETRICS & GYNECOLOGY
- Intrauterine growth restriction (IUGR) risk decision based on support vector machines
- (2011) Fikret Gürgen et al. EXPERT SYSTEMS WITH APPLICATIONS
- Nuchal fold thickness, nasal bone absence or hypoplasia, ductus venosus reversed flow and tricuspid valve regurgitation in screening for trisomies 21, 18 and 13 in the early second trimester
- (2010) A. Geipel et al. ULTRASOUND IN OBSTETRICS & GYNECOLOGY
- Predictive learning via rule ensembles
- (2008) Jerome H. Friedman et al. Annals of Applied Statistics
- Reference ranges for uterine artery mean pulsatility index at 11-41 weeks of gestation
- (2008) O. Gómez et al. ULTRASOUND IN OBSTETRICS & GYNECOLOGY
Add your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload NowCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now