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Harnessing the potential of artificial neural networks for pediatric patient management
2020, Artificial Intelligence in Medicine: Technical Basis and Clinical ApplicationsEarly prediction of preterm birth for singleton, twin, and triplet pregnancies
2007, European Journal of Obstetrics and Gynecology and Reproductive BiologyCitation Excerpt :It could help in guiding treatment with antenatal steroids on appropriate patients in a timely fashion, and in directing tertiary care referrals. Previous studies have used various strategies to predict preterm birth, including risk scoring systems [4,5], biochemical markers such as fetal fibronectin [6], salivary estriol [7], transvaginal sonography [8], vaginal infections [9], clinical characteristics (bleeding, substance abuse, white blood cell count ≥14,000 cells/μl, and frequency of uterine contractions) [10–11], and data mining methods [12] in singletons and/or twins. The sensitivity of these methods was only about 40%, and the positive predictive value (PPV) was usually lower than 30% [4,11].
Risk scoring, fetal fibronectin, and bacterial vaginosis to predict preterm delivery
1999, Obstetrics and GynecologyThe Preterm Prediction Study: Effect of gestational age and cause of preterm birth on subsequent obstetric outcome
1999, American Journal of Obstetrics and GynecologyRisk Scoring Systems for Preterm Birth and Their Performance: A Systematic Review
2023, Journal of Clinical MedicineWomen's Obstetric History and Midtrimester Cervical Length Measurements by 2D/3D and Doppler Ultrasound
2020, Revista Brasileira de Ginecologia e Obstetricia
Presented at the Tenth Annual Meeting of the Society of Perinatal Obstetricians, Houston, Texas, January 23–27, 1990.