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Updated: Jun 3, 2025

Lumped-Parameter and Finite Element Modeling of Heart Failure with Preserved Ejection Fraction
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基于Kernel学习的心力衰竭患者的生存参数建模.

Maryam Montaseri1, Mansour Rezaei2, Armin Khayati3

  • 1School of Health, Kermanshah University of Medical Sciences, Kermanshah, Iran. Maryam.Montaseri@Kums.ac.ir.

BMC medical research methodology
|January 11, 2025
PubMed
概括

多重内核学习 (MKL) 增强了医疗生存数据的加速失效时间 (AFT) 模型. 这种核心化方法提高了模型性能,为分析时间到事件数据提供了复杂的替代方案.

关键词:
加速失效时间模型脆弱模型的脆弱模型这是心脏衰竭.多个内核学习多个内核学习生存分析的分析.

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