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Updated: Jul 17, 2025

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
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整合贝叶斯张量回归用于成像遗传学应用程序

Yajie Liu1, Nilanjana Chakraborty2, Zhaohui S Qin3

  • 1Department of Biostatistics and Data Science, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, United States.

Frontiers in neuroscience
|September 8, 2023
PubMed
概括

这项研究引入了一种结合脑部成像和遗传数据的新方法,以更好地预测阿尔茨海默病. 该方法通过分析空间模式和基因关系来改善早期检测.

关键词:
阿尔茨海默病的疾病阿尔茨海默病的疾病.贝叶斯张量回归模型的贝叶斯张量回归模型.一致直线性 (collinearity) 是一个直线性.图像学 遗传学 分析翻译学 翻译学 翻译学 翻译学

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Imaging Studies I: CT and MRI

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Imaging Studies IV: Magnetic Resonance Imaging

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