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Updated: Jun 29, 2025

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基于Metaheuristic的特征选择方法用于用机器学习算法诊断萨科佩尼亚

Jaehyeong Lee1, Yourim Yoon2, Jiyoun Kim3

  • 1Department of IT Convergence, Gachon University, 1342 Seongnamdaero, Sujeong-gu, Seongnam-si 13120, Gyeonggi-do, Republic of Korea.

Biomimetics (Basel, Switzerland)
|March 27, 2024
PubMed
概括

使用和搜索 (HS) 和遗传算法 (GA) 的元启发性特征选择,显著改善了用于诊断萨科佩尼亚的机器学习. 带有支向量机的HS实现了最佳的诊断性能.

关键词:
功能选择 功能选择遗传算法 遗传算法和的搜索和的搜索机器学习是机器学习.这是一种元启发式 (metaheuristic) 听证.这种类型的麻症是sarcopenia.

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Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
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