Machine learning-based risk factor analysis of necrotizing enterocolitis in very low birth weight infants

This study used machine learning and a national prospective cohort registry database to analyze the major risk factors of necrotizing enterocolitis (NEC) in very low birth weight (VLBW) infants, including environmental factors. The data consisted of 10,353 VLBW infants from the Korean Neonatal Netwo...

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Detalles Bibliográficos
Autores principales: Cho, Hannah, Lee, Eun Hee, Lee, Kwang-Sig, Heo, Ju Sun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9741654/
https://www.ncbi.nlm.nih.gov/pubmed/36496465
http://dx.doi.org/10.1038/s41598-022-25746-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9741654/
https://www.ncbi.nlm.nih.gov/pubmed/36496465
http://dx.doi.org/10.1038/s41598-022-25746-6

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