Construction of a risk prediction model for postoperative deep vein thrombosis in colorectal cancer patients based on machine learning algorithms

Construction of a risk prediction model for postoperative deep vein thrombosis in colorectal cancer patients based on machine learning algorithms

BackgroundColorectal cancer is a prevalent malignancy of the digestive system, with an increasing incidence. Lower extremity deep vein thrombosis (DVT) is a frequent postoperative complication, occurring in up to 40% of cases.ObjectiveThis research aims to develop and validate a machine learning mod...

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Bibliographic Details
Main Authors: Xin Liu, Xingming Shu, Yejiang Zhou, Yifan Jiang
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-11-01
Series:Frontiers in Oncology
Subjects:
colorectal cancer
venous thrombosis
machine learning
prediction model
postoperative complications
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2024.1499794/full
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