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

Catboost machine learning model related to infants with surgical NEC was successfully developed. A GUI interface was developed to assist clinicians in accurately identifying children who would benefit from surgery.

Authors

Lingqi Xu
Yinglin Su
Xinyun Jin
Xueping Zhu
Wenqiang Sun (ORCID: https://orcid.org/0000-0002-9281-1737)
Yihui Li (ORCID: https://orcid.org/0000-0003-3727-186X)

Institutions

Soochow University (CN)
Wuxi People's Hospital (CN)

Publication Details

Journal: Frontiers in Pediatrics
Published: 2025-02-21
DOI: https://doi.org/10.3389/fped.2025.1465278
Citations: 2
Primary Topic: Infant Nutrition and Health
Type: article
Field-Weighted Citation Impact: 2.24

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article

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

Lingqi Xu, Yinglin Su, Xinyun Jin, Xueping Zhu et al.

Feb 21, 2025

2 citations

Frontiers in Pediatrics

Infant Nutrition and Health

2.24

article

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

Lingqi Xu, Yinglin Su, Xinyun Jin, Xueping Zhu, Wenqiang Sun, Yihui Li

February 21, 2025article en

2 citations

Abstract

Frontiers in PediatricsVol. 13

Soochow University (CN), Wuxi People's Hospital (CN)

Openalex Percentile: Top 16%

Infant Nutrition and Health

2.24

DOI Open Access PDF OpenAlex

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