Recent research on machine learning in the diagnosis and treatment of necrotizing enterocolitis in neonates / 中国当代儿科杂志
Chinese Journal of Contemporary Pediatrics
; (12): 767-773, 2023.
Article
em Zh
| WPRIM
| ID: wpr-982025
Biblioteca responsável:
WPRO
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.
Palavras-chave
Texto completo:
1
Índice:
WPRIM
Assunto principal:
Prognóstico
/
Enterocolite Necrosante
/
Aprendizado de Máquina
/
Hemorragia Gastrointestinal
/
Doenças do Recém-Nascido
Limite:
Humans
/
Newborn
Idioma:
Zh
Revista:
Chinese Journal of Contemporary Pediatrics
Ano de publicação:
2023
Tipo de documento:
Article