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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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Główni autorzy: Xinyun Jin, Wenqiang Sun, Yihui Li, Yinglin Su, Lingqi Xu, Xueping Zhu
Format: Artigo
Język:Inglês
Wydane: Frontiers Media S.A. 2025-02-01
Seria:Frontiers in Pediatrics
Hasła przedmiotowe:
necrotizing enterocolitis
surgical NEC
risk factors
CatBoost machine learning model
GUI interface
Dostęp online:https://www.frontiersin.org/articles/10.3389/fped.2025.1465278/full
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