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Development of a machine learning model to identify intraventricular hemorrhage using time-series analysis in preterm infants

Authors :
Hye-Ji Han
Hyunmin Ji
Ji-Eun Choi
Yoon Gi Chung
Hunmin Kim
Chang Won Choi
Kyunghoon Kim
Young Hwa Jung
Source :
Scientific Reports, Vol 14, Iss 1, Pp 1-8 (2024)
Publication Year :
2024
Publisher :
Nature Portfolio, 2024.

Abstract

Abstract Although the prevalence of intraventricular hemorrhage (IVH) has remained high, no optimal strategy has been established to prevent it. This study included preterm newborns born at a gestational age of

Details

Language :
English
ISSN :
20452322
Volume :
14
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Scientific Reports
Publication Type :
Academic Journal
Accession number :
edsdoj.33e0c394c9c04185b0b7fce79f898143
Document Type :
article
Full Text :
https://doi.org/10.1038/s41598-024-74298-4