Validation of the first-trimester machine learning model for predicting pre-eclampsia in an Asian population.
Long Nguyen-HoangDaljit S SahotaRitsuko K PoohHonglei DuanNoppadol ChaiyasitAkihiko SekizawaSteven W ShawSuresh SeshadriMahesh ChoolaniPiengbulan YapanWen Shan SimRunmei MaWing Cheong LeungSo Ling LauNikki May Wing LeeHiu Yu Hillary LeungTal MeshaliHamutal MeiriYoram LouzounLiona Chiu Yee PoonPublished in: International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics (2024)
This study has demonstrated that following adjustment for the biochemical marker analyzers, the predictive performance of the AI+ML prediction model for pre-eclampsia in the first trimester was comparable to that of the FMF competing risk model in an Asian population.