Machine learning-based prediction model and web calculator for postoperative LDVT in colorectal cancer.

ABSTRACT:

Background

Lower limb deep vein thrombosis (LDVT) is a common but often underdiagnosed complication after colorectal cancer (CRC) surgery. Its early symptoms are subtle, and delayed detection can lead to post-thrombotic syndrome or even life-threatening events. However, effective tools for early risk assessment are lacking.

Objective

To identify risk factors for postoperative LDVT in CRC patients and develop a machine learning (ML)-based risk prediction model with an accessible web calculator.

Methods

This retrospective study included 1,200 CRC patients undergoing radical surgery. A modeling cohort of 1,000 patients (January 2021-December 2022) was randomly split 8:2 into training and testing sets, and 200 patients (March-August 2024) formed an external validation coh

SUBMITTER: Zhang Z 

PROVIDER: S-EPMC12549305 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature