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