@article{TCR23195,
author = {Fang Bai and Chuanchao Wei and Peng Zhang and Dexi Bi and Meixin Ge and Qing Chen and Yijun Jia and Yunshu Lu and Kejin Wu},
title = {Use of peripheral lymphocytes and support vector machine for survival prediction in breast cancer patients},
journal = {Translational Cancer Research},
volume = {7},
number = {4},
year = {2018},
keywords = {},
abstract = {Background: This study aimed to identify the influence of peripheral lymphocytes on prognosis and find prognostic markers for breast cancer patients.
Methods: This study enrolled invasive breast cancer patients and they were followed-up for median 4-years over telephone. Distributions of disease-free survival (DFS) and overall survival (OS) between different levels of lymphocytes were estimated with the Kaplan-Meier (K-M) method. Support vector machine (SVM) methods were used to develop a prognostic classifier for breast cancer.
Results: A total of 190 patients were enrolled. Patients with low level of cluster of differentiation (CD)3+ lymphocytes had worse DFS and OS (P},
issn = {2219-6803}, url = {https://tcr.amegroups.org/article/view/23195}
}