The potential of high-order features of routine blood test in predicting the prognosis of non-small cell lung cancer

The potential of high-order features of routine blood test in predicting the prognosis of non-small cell lung cancer

Abstract Background Numerous studies have demonstrated that the high-order features (HOFs) of blood test data can be used to predict the prognosis of patients with different types of cancer. Although the majority of blood HOFs can be divided into inflammatory or nutritional markers, there are still...

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Bibliographic Details
Main Authors: Liping Luo, Yubo Tan, Shixuan Zhao, Man Yang, Yurou Che, Kezhen Li, Jieke Liu, Huaichao Luo, Wenjun Jiang, Yongjie Li, Weidong Wang
Format: Article
Language:English
Published: BMC 2023-06-01
Series:BMC Cancer
Subjects:
Routine blood test
Lung cancer
DeepSurv model
Prognosis
High-order feature
Online Access:https://doi.org/10.1186/s12885-023-10990-4

Internet

https://doi.org/10.1186/s12885-023-10990-4

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