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Updated: Sep 13, 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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使用机器学习的重症监护室 (ICU) 研究的趋势和方法:基于隐藏的迪里克莱特分配 (LDA) 的专题文献综述

Duygu Topaloğlu1, Olcay Polat2

  • 1Department of Logistics, Honaz Vocational School, Pamukkale University, Denizli, 20180, Turkey.

BMC medical informatics and decision making
|July 30, 2025
PubMed
概括

在重症监护室 (ICU) 的机器学习显示了多种方法,其中感染监测和并发症预测占主导地位. 未来的研究应该探索未经研究的领域,如儿科建模和药物反应预测,以获得更好的患者结果.

关键词:
临床应用 临床应用在重症监护病房的重症监护病房.潜在的迪里克莱特分配.文献综述 文献综述 文献综述机器学习是机器学习.主题建模 主题建模没有监督的建模.

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