癌症护理中的症状轨迹的AI驱动预测:化疗管理的深度学习方法

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Updated: Jun 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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Joseph Finkelstein1, Aref Smiley1, Christina Echeverria2

  • 1Department of Biomedical Informatics, The University of Utah, Salt Lake City, UT 84108, USA.

Bioengineering (Basel, Switzerland)
|November 27, 2024
PubMed
概括

使用深度学习模型预测化疗症状升级,例如卷积神经网络 (CNN) 和长短期记忆 (LSTM) 网络,可以改善患者的护理. 较短的预测间隔 (3天) 显示出最好的结果,增强了早期干预策略.

关键词:
化疗 化疗是一种化学疗法.深度学习是一种深度学习.症状管理 症状管理预测症状 预测症状

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