Predicting a failure of postoperative thromboprophylaxis in non-small cell lung cancer: A stacking machine learning approach.

Predicting a failure of postoperative thromboprophylaxis in non-small cell lung cancer: A stacking machine learning approach.

<h4>Background</h4>Non-small-cell lung cancer (NSCLC) and its surgery significantly increase the venous thromboembolism (VTE) risk. This study explored the VTE risk factors and established a machine-learning model to predict a failure of postoperative thromboprophylaxis.<h4>Methods...

Full description

Saved in:
Bibliographic Details
Main Authors: Ligang Hao, Junjie Zhang, Yonghui Di, Zheng Qi, Peng Zhang
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2025-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0320674
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items