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Updated: Jun 28, 2025

In Silico Clinical Trials for Cardiovascular Disease
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In Silico Clinical Trials for Cardiovascular Disease

Published on: May 27, 2022

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使用机器学习技术进行增强的心血管疾病预测建模:专注于心血管网络

Chukwuebuka Joseph Ejiyi1, Zhen Qin1, Grace Ugochi Nneji2

  • 1Network and Data Security Key Laboratory, University of Electronic Science and Technology of China, Chengdu, Sichuan, China.

Network (Bristol, England)
|April 16, 2024
PubMed
概括

这项研究开发了一种用于早期发现心血管疾病 (CVD) 的智能系统. 像XG-Boost这样的机器学习模型显示出高精度 (99.00%),在精确预测心血管疾病风险方面超过了新的CardioVitalNet (87.45%).

关键词:
这就是为什么 CardioVitalNet 是如此重要的.心血管疾病 心血管疾病分类 分类 分类 分类.机器学习 机器学习莎普利·谢普利 (Shapley) 是一个

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