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Updated: Jul 24, 2025

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model
07:15

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model

Published on: August 16, 2020

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可视化机器学习模型与单个PR阳性乳腺癌预后的倾向性得分匹配分析相结合:一个基于多中心人口的多中心研究

Chaofan Li1, Yuxin Hui2, Xinyu Wei1

  • 1Department of Oncology, The Second Affiliated Hospital of Xi'an Jiaotong University 157 West Fifth Street, Xi'an, Shaanxi, P. R. China.

American journal of cancer research
|July 10, 2023
PubMed
概括

使用XGBoost模型,可以准确预测单个孕激素受体阳性 (sPR+) 乳腺癌 (BC) 的存活率. 强化内分泌疗法对sPR+BC患者没有显著的生存益处,这表明化疗可能更有益.

关键词:
乳腺癌是什么? 乳腺癌是什么塞尔·塞尔 (Seer) 是一个看得见的人.在XGBoost算法中,我们使用了XGBoost算法.新辅助疗法是一种新辅助疗法.一个单一的PR-阳性.

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