Predicting severe intraventricular hemorrhage or early death using machine learning algorithms in VLBWI of the Korean Neonatal Network Database
Crossref DOI link: https://doi.org/10.1038/s41598-024-62033-y
Published Online: 2024-05-15
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Kim, Hyun Ho
Kim, Jin Kyu
Park, Seo Young
Text and Data Mining valid from 2024-05-15
Version of Record valid from 2024-05-15
Article History
Received: 17 October 2023
Accepted: 13 May 2024
First Online: 15 May 2024
Competing interests
: The authors declare no competing interests.