Related references
Note: Only part of the references are listed.Using Machine Learning to Predict Complications in Pregnancy: A Systematic Review
Ayleen Bertini et al.
FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY (2022)
Competing-risks model for prediction of small-for-gestational-age neonate from maternal characteristics, serum pregnancy-associated plasma protein-A and placental growth factor at 11-13 weeks' gestation
I Papastefanou et al.
ULTRASOUND IN OBSTETRICS & GYNECOLOGY (2021)
Relationship between maternal vitamin D status in the first trimester of pregnancy and maternal and neonatal outcomes: a retrospective single center study
Meng Ni et al.
BMC PEDIATRICS (2021)
Machine learning approaches to predict gestational age in normal and complicated pregnancies via urinary metabolomics analysis
Takafumi Yamauchi et al.
SCIENTIFIC REPORTS (2021)
Optimal gestational weight gain for Chinese women - analysis from a longitudinal cohort with childhood follow-up
Yuanying He et al.
LANCET REGIONAL HEALTH-WESTERN PACIFIC (2021)
Vitamin D status during pregnancy and offspring outcomes: a systematic review and meta-analysis of observational studies
Monica Tous et al.
EUROPEAN JOURNAL OF CLINICAL NUTRITION (2020)
Gestational vitamin D deficiency causes placental insufficiency and fetal intrauterine growth restriction partially through inducing placental inflammation
Yuan Hua Chen et al.
JOURNAL OF STEROID BIOCHEMISTRY AND MOLECULAR BIOLOGY (2020)
Competing-risks model for prediction of small-for-gestational-age neonate from maternal characteristics and medical history
I. Papastefanou et al.
ULTRASOUND IN OBSTETRICS & GYNECOLOGY (2020)
Vitamin D Deficiency in Mexican Pregnant Women: Is Supplementation with ≤400 IU/day Enough?
Otilia Perichart-Perera et al.
NUTRIENTS (2020)
Neonatal Sepsis Diagnosis Decision-Making Based on Artificial Neural Networks
Addy Cecilia Helguera-Repetto et al.
FRONTIERS IN PEDIATRICS (2020)
Effects of Vitamin D Supplementation During Pregnancy on Birth Size: A Systematic Review and Meta-Analysis of Randomized Controlled Trials
Andrea Maugeri et al.
NUTRIENTS (2019)
SGW-SCN: An integrated machine learning approach for workload forecasting in geo-distributed cloud data centers
Jing Bi et al.
INFORMATION SCIENCES (2019)
Timing of Gestational Weight Gain and Adverse Perinatal Outcomes in Overweight and Obese Women
Maisa N. Feghali et al.
OBSTETRICS AND GYNECOLOGY (2019)
Healthy Life Trajectories Initiative: Summary of the evidence base for pregnancy-related interventions to prevent overweight and obesity in children
Liesl Grobler et al.
OBESITY REVIEWS (2019)
Regimens of vitamin D supplementation for women during pregnancy
Cristina Palacios et al.
COCHRANE DATABASE OF SYSTEMATIC REVIEWS (2019)
Machine Learning for Fetal Growth Prediction
Ashley I. Naimi et al.
EPIDEMIOLOGY (2018)
Maternal early pregnancy vitamin D status in relation to low birth weight and small-for-gestational-age offspring
Huiping Wang et al.
JOURNAL OF STEROID BIOCHEMISTRY AND MOLECULAR BIOLOGY (2018)
Comparison of logistic regression with machine learning methods for the prediction of fetal growth abnormalities: a retrospective cohort study
Stefan Kuhle et al.
BMC PREGNANCY AND CHILDBIRTH (2018)
Antioxidants and Oxidative Stress: Focus in Obese Pregnancies
Martin Alcala et al.
FRONTIERS IN PHYSIOLOGY (2018)
Inadequate weight gain in obese women and the risk of small for gestational age (SGA): a systematic review and meta-analysis
Zhou Xu et al.
JOURNAL OF MATERNAL-FETAL & NEONATAL MEDICINE (2017)
Higher Level of Oxidative Stress Markers in Small for Gestational Age Newborns Delivered by Cesarean Section at Term
Hulya Dede et al.
FETAL AND PEDIATRIC PATHOLOGY (2017)
Review: Placental transport and metabolism of energy substrates in maternal obesity and diabetes
L. A. Gallo et al.
PLACENTA (2017)
Metabolic markers during pregnancy and their association with maternal and newborn weight status
Otilia Perichart-Perera et al.
PLOS ONE (2017)
Differential performance of first-trimester screening in predicting small-for-gestational-age neonate or fetal growth restriction
F. Crovetto et al.
ULTRASOUND IN OBSTETRICS & GYNECOLOGY (2017)
Estimates of burden and consequences of infants born small for gestational age in low and middle income countries with INTERGROWTH-21st standard: analysis of CHERG datasets
Anne C. C. Lee et al.
BMJ-BRITISH MEDICAL JOURNAL (2017)
Estimates of burden and consequences of infants born small for gestational age in low and middle income countries with INTERGROWTH-21st standard: analysis of CHERG datasets
Anne C. C. Lee et al.
BMJ-BRITISH MEDICAL JOURNAL (2017)
Maternal multiple micronutrient supplementation and other biomedical and socioenvironmental influences on children's cognition at age 9-12 years in Indonesia: follow-up of the SUMMIT randomised trial
Elizabeth L. Prado et al.
LANCET GLOBAL HEALTH (2017)
Placental Responses to Changes in the Maternal Environment Determine Fetal Growth
Kris Genelyn Dimasuay et al.
FRONTIERS IN PHYSIOLOGY (2016)
Differential effect of intrauterine growth restriction on childhood neurodevelopment: a systematic review
E. Murray et al.
BJOG-AN INTERNATIONAL JOURNAL OF OBSTETRICS AND GYNAECOLOGY (2015)
Postnatal growth standards for preterm infants: the Preterm Postnatal Follow-up Study of the INTERGROWTH-21st Project
Jose Villar et al.
LANCET GLOBAL HEALTH (2015)
Inflammatory Markers in Umbilical Cord Blood from Small-For-Gestational-Age Newborns
Ulrik Lausten-Thomsen et al.
FETAL AND PEDIATRIC PATHOLOGY (2014)
Gestational weight gain in relation to offspring obesity over the life course: a systematic review and bias- adjusted meta- analysis
A. A. Mamun et al.
OBESITY REVIEWS (2014)
Programming of Fetal Insulin Resistance in Pregnancies with Maternal Obesity by ER Stress and Inflammation
Francisco Westermeier et al.
BIOMED RESEARCH INTERNATIONAL (2014)
Association between maternal serum 25-hydroxyvitamin D level and pregnancy and neonatal outcomes: systematic review and meta-analysis of observational studies
Fariba Aghajafari et al.
BMJ-BRITISH MEDICAL JOURNAL (2013)
National and regional estimates of term and preterm babies born small for gestational age in 138 low-income and middle-income countries in 2010
Anne C. C. Lee et al.
LANCET GLOBAL HEALTH (2013)
First trimester prediction of small- and large-for-gestation neonates by an integrated model incorporating ultrasound parameters, biochemical indices and maternal characteristics
Ioannis Papastefanou et al.
ACTA OBSTETRICIA ET GYNECOLOGICA SCANDINAVICA (2012)
Role of oxidative stress in preeclampsia and intrauterine growth restriction
Ismail Mert et al.
JOURNAL OF OBSTETRICS AND GYNAECOLOGY RESEARCH (2012)
Impact of maternal obesity on offspring obesity and cardiometabolic disease risk
Amanda J. Drake et al.
REPRODUCTION (2010)
The Effect of Gestational Weight Gain by Body Mass Index on Maternal and Neonatal Outcomes
Joan M. G. Crane et al.
JOURNAL OF OBSTETRICS AND GYNAECOLOGY CANADA (2009)
Prediction of azo dye decolorization by UV/H2O2 using artificial neural networks
A. Aleboyeh et al.
DYES AND PIGMENTS (2008)
Role of oxidative stress in intrauterine growth restriction
Aydan Biri et al.
GYNECOLOGIC AND OBSTETRIC INVESTIGATION (2007)
Application of the error propagation theory in estimates of static formation temperatures in geothermal and petroleum boreholes
Surendra P. Verma et al.
ENERGY CONVERSION AND MANAGEMENT (2006)
Total antioxidant capacity assay of human serum using copper(II)-neocuproine as chromogenic oxidant:: The CUPRAC method
R Apak et al.
FREE RADICAL RESEARCH (2005)
Isoprostanes in amniotic fluid: A predictive marker for fetal growth restriction in pregnancy
M Longini et al.
FREE RADICAL BIOLOGY AND MEDICINE (2005)
Protein carbonyl groups as biomarkers of oxidative stress
I Dalle-Donne et al.
CLINICA CHIMICA ACTA (2003)