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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.
Affiliation
  • 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 in En | MEDLINE | ID: mdl-35943628
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Pancreatitis / Pancreaticobiliary Maljunction Type of study: Prognostic_studies / Risk_factors_studies Limits: Child / Humans Language: En Journal: Surg Today Year: 2023 Type: Article Affiliation country: China
Fulltext
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PubMed Links
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Pancreatitis / Pancreaticobiliary Maljunction Type of study: Prognostic_studies / Risk_factors_studies Limits: Child / Humans Language: En Journal: Surg Today Year: 2023 Type: Article Affiliation country: China