Prediction Model of Late Fetal Growth Restriction with Machine Learning Algorithms

Prediction Model of Late Fetal Growth Restriction with Machine Learning Algorithms

Background: This study aimed to develop a clinical model to predict late-onset fetal growth restriction (FGR). Methods: This retrospective study included seven hospitals and was conducted between January 2009 and December 2020. Two sets of variables from the first trimester until 13 weeks (E1) and t...

Full description

Bibliographic Details
Main Authors: Seon Ui Lee, Sae Kyung Choi, Yun Sung Jo, Jeong Ha Wie, Jae Eun Shin, Yeon Hee Kim, Kicheol Kil, Hyun Sun Ko
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Life
Subjects:
fetal growth restriction
gestation
machine learning
Online Access:https://www.mdpi.com/2075-1729/14/11/1521

Internet

https://www.mdpi.com/2075-1729/14/11/1521

Similar Items