I (Yuhan Du) attended the Grace Hopper Celebration 2021 on Sep 27 – Oct 1 and presented my poster “Early Prediction of Macrosomia Using Machine Learning”, coauthored with Dr. Catherine Mooney. The poster described our research on predicting fetal macrosomia, which refers to infants born with excessive birth weight. In this study, we developed machine learning models to predict macrosomia in the early second trimester in secundigravid women who had a macrosomic birth history with a novel inclusion of usability. Our work has the potential to assist pregnancy care in a clinical setting.
You can find our poster at: https://vghc21-anitab.ipostersessions.com/Default.aspx?s=FF-75-6E-65-72-A8-15-7C-1A-08-33-9E-11-38-C7-A0