Prediction of Preeclampsia and Intrauterine Growth Restriction: Development of Machine Learning Models on a Prospective Cohort

Medicine & Life Sciences

• Vascular Endothelial Growth Factor Receptor-1 100%
• Machine Learning 85%
• Fetal Growth Retardation 83%
• Receptor Protein-Tyrosine Kinases 81%
• Growth and Development 77%
• Pre-Eclampsia 75%
• Uterine Artery 64%
• Intercellular Signaling Peptides and Proteins 61%
• Datasets 59%
• Mothers 32%
• Decision Trees 31%
• Maternal Mortality 28%
• Health Care Costs 22%
• ROC Curve 21%
• Pregnant Women 20%
• Linear Models 19%
• Referral and Consultation 18%
• Cohort Studies 17%
• Prospective Studies 16%
• Weights and Measures 16%
• Pregnancy 15%
• Morbidity 14%
• Control Groups 13%