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Updated: May 27, 2025

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model
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基于海优化和Ruzzo Tompa算法进行的心脏病预测的理想设计的深度信任网络模型

Yuan Jin1,2, Yunliang Lai3,4, Azadeh Noori Hoshyar5

  • 1Department of Cardiovascular Medicine, The Fifth People's Hospital of Ganzhou, Ganzhou, 341000, Jiangxi, China. yuanjinalgo@hotmail.com.

Scientific reports
|February 19, 2025
PubMed
概括

本研究介绍了一种理想设计的深度信任网络 (ID-DTN),通过优化网络设计和功能选择来改进心脏预测. 这种新的方法实现了97.11%的预测准确度,为心血管疾病患者提供了可靠的建议.

关键词:
人工智能的人工智能博尔茨曼机器机器深度学习是一种深度学习.心脏病预测 心脏病预测鲁佐 - 托马帕 (Ruzzo-Tompa) 是一个城市.海优化优化方法

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