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Validation of the first-trimester machine learning model for predicting pre-eclampsia in an Asian population.
Nguyen-Hoang L, Sahota DS, Pooh RK, Duan H, Chaiyasit N, Sekizawa A, Shaw SW, Seshadri S, Choolani M, Yapan P, Sim WS, Ma R, Leung WC, Lau SL, Lee NMW, Leung HYH, Meshali T, Meiri H, Louzoun Y, Poon LC. Nguyen-Hoang L, et al. Among authors: poon lc. Int J Gynaecol Obstet. 2024 Oct;167(1):350-359. doi: 10.1002/ijgo.15563. Epub 2024 Apr 26. Int J Gynaecol Obstet. 2024. PMID: 38666305
Predicting the Risk to Develop Preeclampsia in the First Trimester Combining Promoter Variant -98A/C of LGALS13 (Placental Protein 13), Black Ethnicity, Previous Preeclampsia, Obesity, and Maternal Age.
Madar-Shapiro L, Karady I, Trahtenherts A, Syngelaki A, Akolekar R, Poon L, Cohen R, Sharabi-Nov A, Huppertz B, Sammar M, Juhasz K, Than NG, Papp Z, Romero R, Nicolaides KH, Meiri H. Madar-Shapiro L, et al. Fetal Diagn Ther. 2018;43(4):250-265. doi: 10.1159/000477933. Epub 2017 Jul 21. Fetal Diagn Ther. 2018. PMID: 28728156 Free PMC article.
287 results