Recent research on machine learning in the diagnosis and treatment of necrotizing enterocolitis in neonates

CUI Cheng; CHEN Fei-Long; LI Lu-Quan

doi:10.7499/j.issn.1008-8830.2302165

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Chinese Journal of Contemporary Pediatrics ›› 2023, Vol. 25 ›› Issue (7) : 767-773. DOI: 10.7499/j.issn.1008-8830.2302165

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Recent research on machine learning in the diagnosis and treatment of necrotizing enterocolitis in neonates

CUI Cheng, CHEN Fei-Long, LI Lu-Quan

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Abstract

Necrotizing enterocolitis (NEC), with the main manifestations of bloody stool, abdominal distension, and vomiting, is one of the leading causes of death in neonates, and early identification and diagnosis are crucial for the prognosis of NEC. The emergence and development of machine learning has provided the potential for early, rapid, and accurate identification of this disease. This article summarizes the algorithms of machine learning recently used in NEC, analyzes the high-risk predictive factors revealed by these algorithms, evaluates the ability and characteristics of machine learning in the etiology, definition, and diagnosis of NEC, and discusses the challenges and prospects for the future application of machine learning in NEC.

Key words

Necrotizing enterocolitis / Machine learning / Classification algorithms / Auxiliary diagnosis / Neonate

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CUI Cheng, CHEN Fei-Long, LI Lu-Quan. Recent research on machine learning in the diagnosis and treatment of necrotizing enterocolitis in neonates[J]. Chinese Journal of Contemporary Pediatrics. 2023, 25(7): 767-773 https://doi.org/10.7499/j.issn.1008-8830.2302165

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