Development of artificial neural networks for early prediction of intestinal perforation in preterm infants

Intestinal perforation (IP) in preterm infants is a life-threatening condition that may result in serious complications and increased mortality. Early Prediction of IP in infants is important, but challenging due to its multifactorial and complex nature of the disease. Thus, there are no reliable to...

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Detalles Bibliográficos
Autores principales: Son, Joonhyuk, Kim, Daehyun, Na, Jae Yoon, Jung, Donggoo, Ahn, Ja-Hye, Kim, Tae Hyun, Park, Hyun-Kyung
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/PMC9287325/
https://www.ncbi.nlm.nih.gov/pubmed/35840701
http://dx.doi.org/10.1038/s41598-022-16273-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9287325/
https://www.ncbi.nlm.nih.gov/pubmed/35840701
http://dx.doi.org/10.1038/s41598-022-16273-5

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