Childbirth

Machine learning-based prediction of preeclampsia using first-trimester inflammatory markers and red blood cell indices | BMC Pregnancy and Childbirth

Baseline characteristics of pregnant womenThis study included a total of 17,955 pregnant women, of whom 17,381 were non-preeclamptic and 574...

Individual and community level determinants of unmeet pregnancy complication education among pregnant ANC visitor women in Sub-Saharan Africa: a multilevel analysis of the recent demographic and health survey | BMC Pregnancy and Childbirth

Machine learning approaches for predicting fetal macrosomia at different stages of pregnancy: a retrospective study in China | BMC Pregnancy and Childbirth

Macrosomia ACOGP, Bulletin. Number 216. Obstet Gynecol. 2020;135(1):e18-e35.Koyanagi A, Zhang J, Dagvadorj A, Hirayama F, Shibuya K, Souza JP, et...