Predicting severe intraventricular hemorrhage or early death using machine learning algorithms in VLBWI of the Korean Neonatal Network Database

Predicting severe intraventricular hemorrhage or early death using machine learning algorithms in VLBWI of the Korean Neonatal Network Database

Abstract Severe intraventricular hemorrhage (IVH) in premature infants can lead to serious neurological complications. This retrospective cohort study used the Korean Neonatal Network (KNN) dataset to develop prediction models for severe IVH or early death in very-low-birth-weight infants (VLBWIs) u...

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Bibliographic Details
Main Authors: Hyun Ho Kim, Jin Kyu Kim, Seo Young Park
Format: Article
Language:English
Published: Nature Portfolio 2024-05-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-024-62033-y

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https://doi.org/10.1038/s41598-024-62033-y

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