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Comparison of risk models for mortality and cardiovascular events between machine learning and conventional logistic regression analysis

机译:机床学习与常规逻辑回归分析中死亡率和心血管事件风险模型的比较

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摘要

Aims Non-linear models by machine learning may identify different risk factors with different weighting in comparison to conventional linear models.
机译:与传统线性模型相比,通过机器学习的非线性模型可以识别不同加权的不同危险因素。

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