Original paper
Prediction of massive bleeding in pancreatic surgery based on preoperative patient characteristics using a decision tree
Abstract
Massive intraoperative blood loss (IBL) negatively influence outcomes after surgery for pancreatic ductal adenocarcinoma (PDAC). However, few data or predictive models are available for the identification of patients with a high risk for massive IBL. This study aimed to build a model for massive IBL prediction using a decision tree algorithm, which is one machine learning method. One hundred and seventy-five patients undergoing curative surgery...
Paper Details
Title
Prediction of massive bleeding in pancreatic surgery based on preoperative patient characteristics using a decision tree
Published Date
Nov 9, 2021
Journal
Volume
16
Issue
11
Pages
e0259682 - e0259682
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Notes
History