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.
Artículo
en Chino
| WPRIM
| ID: wpr-982025
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.
Texto completo:
Disponible
Índice:
WPRIM (Pacífico Occidental)
Asunto principal:
Pronóstico
/
Enterocolitis Necrotizante
/
Aprendizaje Automático
/
Hemorragia Gastrointestinal
/
Enfermedades del Recién Nacido
Límite:
Humanos
/
Recién Nacido
Idioma:
Chino
Revista:
Chinese Journal of Contemporary Pediatrics
Año:
2023
Tipo del documento:
Artículo
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