相关实验视频

Updated: Jan 8, 2026

Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model
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Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model

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使用基于决策树的机器学习来预测患有I-II期乳腺癌的老年女性的长期生存率

Hyuna Yoon1, Yeijin Kim2, Sola Han2

  • 1Health Outcomes Division, College of Pharmacy, The University of Texas at Austin, Austin, TX, USA; Department of Regulatory Science, Graduate School, Kyung Hee University, Seoul, Republic of Korea; Institute of Regulatory Innovation through Science (IRIS), Kyung Hee University, Seoul, Republic of Korea; College of Pharmacy, Kyung Hee University, Seoul, Republic of Korea.

Journal of geriatric oncology
|December 17, 2025
PubMed
概括

机器学习模型预测早期乳腺癌的老年女性的死亡率. 年龄,查和充血性心力衰竭是这些乳腺癌患者全因死亡率的关键因素.

关键词:
乳腺癌 乳腺癌 乳腺癌心脏瘤学 - 心脏瘤学老年瘤学 老年瘤学机器学习 机器学习死亡率 死亡率 死亡率随机生存森林是随机生存的森林.

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