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首页> 外文期刊>Journal of vascular and interventional radiology: JVIR >Machine Learning Offers Exciting Potential for Predicting Postprocedural Outcomes: A Framework for Developing Random Forest Models in IR
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Machine Learning Offers Exciting Potential for Predicting Postprocedural Outcomes: A Framework for Developing Random Forest Models in IR

机译:机器学习提供了预测后期结果的令人兴奋的潜力:一种在IR中开发随机林模型的框架

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摘要

Purpose: To demonstrate that random forest models trained on a large national sample can accurately predict relevant outcomes and may ultimately contribute to future clinical decision support tools in IR.
机译:目的:展示在大型国家样本上培训的随机森林模型可以准确地预测相关结果,最终可能导致IR的未来临床决策支持工具。

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