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Updated: Jul 16, 2025

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
04:09

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma

Published on: October 10, 2018

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一个机器学习模型用于准确预测TAVI患者的1年生存期:一个回顾性观察队列研究

Francesco Pollari1, Wolfgang Hitzl2,3,4, Magnus Rottmann1

  • 1Cardiac Surgery, Cardiovascular Center, Paracelsus Medical University-Klinikum Nuremberg, 90471 Nuremberg, Germany.

Journal of clinical medicine
|September 9, 2023
PubMed
概括

预测通过导管大动脉植入 (TAVI) 后的1年存活率至关重要. 机器学习模型,特别是具有"拒绝选项"的随机森林,可以准确预测患者的存活率,帮助临床决策.

关键词:
塔维 (Tavi) 是一个古老的城市.机器学习是机器学习.结果结果结果结果.个性化的个性化的个性化.预测 预测 预测 预测幸存率 幸存率 生存率

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