Establishment and clinical application of a prognostic index for inflammatory status in triple-negative breast cancer patients undergoing neoadjuvant therapy using machine learning

Establishment and clinical application of a prognostic index for inflammatory status in triple-negative breast cancer patients undergoing neoadjuvant therapy using machine learning

Abstract Objective This study aims to establish a new prognostic index using machine learning models to predict the clinical outcomes of triple-negative breast cancer (TNBC) patients receiving neoadjuvant therapy. Methods In this study, we collected data from the electronic medical records system of...

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Bibliographic Details
Main Authors: Hao Sun, Jian Liang, Shuanglong Xue, Xiaoyan Zhang, Mingqiang Ding, Jingna Zhu, Abiyasi Nanding, Tianyi Liu, Ge Lou, Yue Gao, Yingjie Li, Lei Zhong
Format: Article
Language:English
Published: BMC 2024-12-01
Series:BMC Cancer
Subjects:
Triple-negative breast cancer
Neoadjuvant therapy
Inflammation status
Machine learning
Prognosis
Online Access:https://doi.org/10.1186/s12885-024-13354-8
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