Use of CatBoost algorithm to identify the need for surgery in infants with necrotizing enterocolitis

BackgroundEarly identification of infants with necrotizing enterocolitis (NEC) at risk of surgery is essential for an effective treatment. This study aims to clarify the risk factors of surgical NEC and establish a prediction model by machine learning algorithm.MethodsInfants with NEC were split int...

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Hlavní autoři:	Xinyun Jin, Wenqiang Sun, Yihui Li, Yinglin Su, Lingqi Xu, Xueping Zhu
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Frontiers Media S.A. 2025-02-01
Edice:	Frontiers in Pediatrics
Témata:	necrotizing enterocolitis surgical NEC risk factors CatBoost machine learning model GUI interface
On-line přístup:	https://www.frontiersin.org/articles/10.3389/fped.2025.1465278/full
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