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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Detalles Bibliográficos
Autores principales: Xu, Qianjie, Lei, Haike, Li, Xiaosheng, Li, Fang, Shi, Hao, Wang, Guixue, Sun, Anlong, Wang, Ying, Peng, Bin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9826862/
https://www.ncbi.nlm.nih.gov/pubmed/36632097
http://dx.doi.org/10.1016/j.heliyon.2022.e12681

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9826862/
https://www.ncbi.nlm.nih.gov/pubmed/36632097
http://dx.doi.org/10.1016/j.heliyon.2022.e12681

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