Using machine learning models to predict the surgical risk of children with pancreaticobiliary maljunction and biliary dilatation.

Mao, Hui-Min; Huang, Shun-Gen; Yang, Yang; Cai, Tian-Na; Guo, Wan-Liang

Mao, Hui-Min; Huang, Shun-Gen; Yang, Yang; Cai, Tian-Na; Guo, Wan-Liang.

Afiliação

Mao HM; Department of Radiology, The First Affiliated Hospital of Soochow University, Suzhou, 215006, China.
Huang SG; Pediatric Surgery, Children's Hospital of Soochow University, Suzhou, 215025, China.
Yang Y; Department of Radiology, Children's Hospital of Soochow University, Suzhou, 215025, China.
Cai TN; Department of Radiology, Children's Hospital of Soochow University, Suzhou, 215025, China.
Guo WL; Department of Radiology, The First Affiliated Hospital of Soochow University, Suzhou, 215006, China. gwlsuzhou@163.com.

Surg Today ; 53(12): 1352-1362, 2023 Dec.

Article em En | MEDLINE | ID: mdl-37160428

Assuntos

Cisto do Colédoco; Má Junção Pancreaticobiliar; Humanos; Criança; Ductos Pancreáticos/cirurgia; Dilatação; Ductos Biliares; Cisto do Colédoco/cirurgia; Aprendizado de Máquina

Palavras-chave

Biliary dilatation; Machine learning; Pancreaticobiliary maljunction; Surgical risk

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Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Cisto do Colédoco / Má Junção Pancreaticobiliar Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies Limite: Child / Humans Idioma: En Revista: Surg Today Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China

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