Predictors of Newborn’s Weight for Height: A Machine Learning Study Using Nationwide Multicenter Ultrasound Data

Predictors of Newborn’s Weight for Height: A Machine Learning Study Using Nationwide Multicenter Ultrasound Data

There has been no machine learning study with a rich collection of clinical, sonographic markers to compare the performance measures for a variety of newborns’ weight-for-height indicators. This study compared the performance measures for a variety of newborns’ weight-for-height indicators based on...

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Bibliographic Details
Main Authors: Ki Hoon Ahn, Kwang-Sig Lee, Se Jin Lee, Sung Ok Kwon, Sunghun Na, Kyongjin Kim, Hye Sim Kang, Kyung A Lee, Hye-Sung Won, Moon Young Kim, Han Sung Hwang, Mi Hye Park, Korean Society of Ultrasound in Obstetrics Gynecology Research Group
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Diagnostics
Subjects:
newborn
weight
height
estimated fetal weight
abdominal circumference
Online Access:https://www.mdpi.com/2075-4418/11/7/1280

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