Using machine learning models to predict acute pancreatitis in children with pancreaticobiliary maljunction.

Han, Xiao; Geng, Jia; Zhang, Xin-Xian; Zhao, Lian; Wang, Jian; Guo, Wan-Liang

Han, Xiao; Geng, Jia; Zhang, Xin-Xian; Zhao, Lian; Wang, Jian; Guo, Wan-Liang.

Afiliación

Han X; Department of Radiology, Children's Hospital of Soochow University, Suzhou, 215025, China.
Geng J; Clinical Laboratory, 3rd Hospital of Yulin, Yulin, 719000, China.
Zhang XX; Department of Radiology, Xuzhou Children's Hospital, Xuzhou, 221002, China.
Zhao L; Department of Radiology, Children's Hospital of Soochow University, Suzhou, 215025, China.
Wang J; Pediatric Surgery, Children's Hospital of Soochow University, Suzhou, 215025, China.
Guo WL; Department of Radiology, Children's Hospital of Soochow University, Suzhou, 215025, China. gwlsuzhou@163.com.

Surg Today ; 53(3): 316-321, 2023 Mar.

Article en En | MEDLINE | ID: mdl-35943628

Asunto(s)

Mala Unión Pancreaticobiliar; Pancreatitis; Niño; Humanos; Enfermedad Aguda; Aprendizaje Automático; Factores de Riesgo

Palabras clave

Acute pancreatitis; Machine learning; Pancreaticobiliary maljunction

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Pancreatitis / Mala Unión Pancreaticobiliar Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Child / Humans Idioma: En Revista: Surg Today Año: 2023 Tipo del documento: Article País de afiliación: China Pais de publicación: Japón

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