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Updated: Jun 12, 2025

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model
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Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model

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预后模型的性能取决于缺失值归算算法的选择:一个模拟研究

Manja Deforth1, Georg Heinze2, Ulrike Held1

  • 1Department of Biostatistics at the Epidemiology, Biostatistics and Prevention Institute, University of Zurich, Zurich, Switzerland.

Journal of clinical epidemiology
|September 26, 2024
PubMed
概括

像老鼠和aregImpute这样的多重归算方法是处理临床预测模型中缺失的预测值的可靠选择,即使在复杂的数据中也提供良好的性能. 这些方法改善了模型校准和在数据不完整时的歧视.

关键词:
一个有争议的regImpute.完整的案例分析.我们的老鼠是老鼠.森林小姐 森林小姐缺失的价值归算是错误的预测模型的预测模型.

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