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

Author:

Xu Qianjie,Lei HaikeORCID,Li Xiaosheng,Li Fang,Shi Hao,Wang Guixue,Sun Anlong,Wang Ying,Peng Bin

Funder

Chongqing Science and Technology Commission

Publisher

Elsevier BV

Subject

Multidisciplinary

Reference36 articles.

1. Gastric cancer treatment: similarity and difference between China and Korea;Yang;Transl Gastroenterol Hepatol,2017

2. Cancer-associated thrombosis: an overview of mechanisms, risk factors, and treatment;Abdol Razak;Cancers,2018

3. Cancer-associated thrombosis: the when, how and why;Fernandes;Eur. Respir. Rev.,2019

4. Risk factors and prediction models for venous thromboembolism in ambulatory patients with lung cancer;Yan;Healthcare (Basel),2021

5. Prediction models for venous thromboembolism in ambulatory adults with pancreatic and gastro-oesophageal cancer: protocol for systematic review and meta-analysis;Zaheer;BMJ Open,2022

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