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Updated: Jun 10, 2025

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
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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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使用机器学习预测胃肠道出血在血液透析中住院的风险

John W Larkin1, Suman Lama2, Sheetal Chaudhuri2

  • 1Fresenius Medical Care, Global Medical Office, 920 Winter Street, Waltham, MA, 02451, USA. John.Larkin@freseniusmedicalcare.com.

BMC nephrology
|October 19, 2024
PubMed
概括

机器学习模型可以预测血液透析 (HD) 患者的胃肠道出血 (GIB) 住院风险. 极端梯度增强 (XGBoost) 模型在此预测中表现出优于后勤回归的性能.

关键词:
流血 出血 流血 出血胃肠道 胃肠道 胃肠道住院治疗 住院治疗患有功能衰竭的人.预测建模预测建模

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