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Updated: Jul 6, 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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机器学习模型用于早期预测高降低效果和高血病患者的不良事件

Wei Huang1,2, Jian-Yong Zhu1,2, Cong-Ying Song1,2

  • 1Department of Emergency Medicine, The First Affiliated Hospital, School of Medicine, Zhejiang University, 79 Qingchun Road, Hangzhou, 310003, Zhejiang, People's Republic of China.

Scientific reports
|January 6, 2024
PubMed
概括

这项研究开发了一种超血病患者的预测模型,确定了不良事件和治疗成功的关键临床因素. 该模型有助于早期风险评估和个性化患者护理.

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Liddle syndrome is a genetically inherited form of hypertension characterized by the overactivity of epithelial sodium channels in the nephron, the functional unit of the kidney. This heightened activity leads to increased sodium reabsorption and excessive excretion of potassium. To counteract this, potassium-sparing diuretics such as amiloride are used. They function by blocking these sodium channels, thereby reducing the influx of sodium into the epithelial cells and minimizing the loss of...
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