Prediction of newborn's body mass index using nationwide multicenter ultrasound data: a machine-learning study

• Main Authors: Kwang-Sig Lee (Author), Ho Yeon Kim (Author), Se Jin Lee (Author), Sung Ok Kwon (Author), Sunghun Na (Author), Han Sung Hwang (Author), Mi Hye Park (Author), Ki Hoon Ahn (Author), Korean Society of Ultrasound in Obstetrics and Gynecology Research Group (Author)
• Format: Book
• Published: BMC, 2021-03-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

Abstract Background This study introduced machine learning approaches to predict newborn's body mass index (BMI) based on ultrasound measures and maternal/delivery information. Methods Data came from 3159 obstetric patients and their newborns enrolled in a multi-center retrospective study. Vari...