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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Main Authors: Ga Won Jeon (Author), Yeong Seok Lee (Author), Won-Ho Hahn (Author), Yong Hoon Jun (Author)
Format: Book
Published: MDPI AG, 2024-10-01T00:00:00Z.
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3rd Floor Main Library

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