Prediction of pancreatic fistula after pancreatoduodenectomy using machine learning

Prediction of pancreatic fistula after pancreatoduodenectomy using machine learning

Objective: to analyze the results of pancreatoduodenectomy (PD) and identify predictive risk factors for postoperative pancreatic fistula (PF) using machine learning (ML) technology.Material and Methods. A nonrandomized study of treatment outcomes in 128 patients, who underwent PD for periampullary...

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Bibliographic Details
Main Authors: V. A. Suvorov, S. I. Panin, N. V. Kovalenko, V. V. Zhavoronkova, M. P. Postolov, S. E. Tolstopyatov, A. E. Bublikov, A. V. Panova, V. O. Popova
Format: Article
Language:Russian
Published: Russian Academy of Sciences, Tomsk National Research Medical Center 2024-01-01
Series:Сибирский онкологический журнал
Subjects:
pancreatoduodenectomy
pancreatic fistula
machine learning
Online Access:https://www.siboncoj.ru/jour/article/view/2832
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