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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...
Autores principales: | Son, Joonhyuk, Kim, Daehyun, Na, Jae Yoon, Jung, Donggoo, Ahn, Ja-Hye, Kim, Tae Hyun, Park, Hyun-Kyung |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
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 |
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