Machine learning-based prediction of postoperative pancreatic fistula after laparoscopic pancreaticoduodenectomy

Abstract Background Clinically relevant postoperative pancreatic fistula (CR-POPF) following laparoscopic pancreaticoduodenectomy (LPD) is a critical complication that significantly worsens patient outcomes. However, the heterogeneity of its risk factors and the clinical utility of predictive models...

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Autors principals:	Qianchang Wang, Zhe Wang, Fangfeng Liu, Zhengjian Wang, Qingqiang Ni, Hong Chang
Format:	Artigo
Idioma:	Inglês
Publicat:	BMC 2025-04-01
Col·lecció:	BMC Surgery
Matèries:	Laparoscopic pancreaticoduodenectomy Clinically relevant postoperative pancreatic fistula Postoperative complications Machine learning Predictive model
Accés en línia:	https://doi.org/10.1186/s12893-025-02935-4
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