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Updated: Jan 18, 2026

In Vitro Microfluidic Disease Model to Study Whole Blood-Endothelial Interactions and Blood Clot Dynamics in Real-Time
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In Vitro Microfluidic Disease Model to Study Whole Blood-Endothelial Interactions and Blood Clot Dynamics in Real-Time

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基于使用20个机器学习算法进行全血基因表达简介的静脉血栓栓塞风险预测模型的开发:20个机器学习算法:全面分析研究

Yedong Huang1, Xiaoyun Chen2, Guannan Bai3

  • 1Department of Radiation Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, Fujian, China.

JMIR medical informatics
|January 16, 2026
PubMed
概括

这项研究开发了9种有效的机器学习模型,用于使用基因表达数据预测静脉血栓栓塞 (VTE) 风险. 这些模型在与D-二分体检测相结合时,有望改善VTE诊断.

关键词:
这就是ROC ROC ROC.生物标志物 生物标志物基因表达分析 基因表达分析机器学习是机器学习.预测模型的预测模型.接收器的运行特征曲线.转录组 (transcriptome) 是一个转录组.静脉血栓塞栓症是一种静脉血栓塞栓.

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