A Predictive Model for Perinatal Brain Injury Using Machine Learning Based on Early Birth Data

Background/Objective: It is difficult to predict perinatal brain injury, and performing brain magnetic resonance imaging (MRI) based on suspected injury remains a clinical challenge. Therefore, we aimed to develop a reliable method for predicting perinatal brain injury using a machine learning model...

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Bibliographic Details
Main Authors: Ga Won Jeon, Yeong Seok Lee, Won-Ho Hahn, Yong Hoon Jun
Format: Article
Language:English
Published: MDPI AG 2024-10-01
Series:Children
Subjects:
Online Access:https://www.mdpi.com/2227-9067/11/11/1313
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