Machine learning predicts cancer-associated venous thromboembolism using clinically available variables in gastric cancer patients

Machine learning predicts cancer-associated venous thromboembolism using clinically available variables in gastric cancer patients

Stomach cancer (GC) has one of the highest rates of thrombosis among cancers and can lead to considerable morbidity, mortality, and additional costs. However, to date, there is no suitable venous thromboembolism (VTE) prediction model for gastric cancer patients to predict risk. Therefore, there is...

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Bibliographic Details
Main Authors: Qianjie Xu, Haike Lei, Xiaosheng Li, Fang Li, Hao Shi, Guixue Wang, Anlong Sun, Ying Wang, Bin Peng
Format: Article
Language:English
Published: Elsevier 2023-01-01
Series:Heliyon
Subjects:
Gastric cancer
Venous thromboembolism
Prediction model
Machine learning
Online Access:http://www.sciencedirect.com/science/article/pii/S240584402203969X

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http://www.sciencedirect.com/science/article/pii/S240584402203969X

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