Identification of intraoperative hypoxemia and hypoproteinemia as prognostic indicators in anastomotic leakage post-radical gastrectomy: an 8-year multicenter study utilizing machine learning techniques

Identification of intraoperative hypoxemia and hypoproteinemia as prognostic indicators in anastomotic leakage post-radical gastrectomy: an 8-year multicenter study utilizing machine learning techniques

BackgroundComplications and mortality rates following gastrectomy for gastric cancer have improved over recent years; however, complications such as anastomotic leakage (AL) continue to significantly impact both immediate and long-term prognoses. This study aimed to develop a machine learning model...

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Bibliographic Details
Main Authors: Yuan Liu, Songyun Zhao, Xingchen Shang, Wei Shen, Wenyi Du, Ning Zhou
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-11-01
Series:Frontiers in Oncology
Subjects:
gastric tumor
gastrectomy
anastomotic leakage
prognosis
risk factor
machine learning
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2024.1471137/full
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