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Updated: Jun 14, 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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使用机器学习预测接受血液透析的患者3年全因死亡率

Aiko Okubo1, Toshiki Doi2,3, Kenichi Morii2,3

  • 1Division of Nephrology, Ichiyokai Harada Hospital, 7-10 Kairoyama-cho, Saeki-ku, Hiroshima, 731-5134, Japan. aiko437689@gmail.com.

Journal of nephrology
|March 6, 2025
PubMed
概括

这项研究开发了一种使用心电图 (ECG) 发现的新风险模型,用于预测血液透析 (HD) 患者的死亡. 该模型有效地识别高风险个体,改善患者护理和治疗策略.

关键词:
血液透析是血液透析的方法之一.死亡率 死亡率 死亡率风险模型风险模型

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