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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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使用可解释的机器学习来预测ICU患者的血液感染和抗菌素耐药性:基于EHR数据的早期预警预测器来指导抗菌素管理

Davide Ferrari1,2, Pietro Arina3, Jonathan Edgeworth2

  • 1School of Life Course and Population Sciences, King's College London, London, United Kingdom.

PLOS digital health
|October 16, 2024
PubMed
概括

使用多目标符号回归 (MOSR) 的新型机器学习方法有效预测重症监护室的血液感染 (BSI) 和抗菌素耐药性 (AMR),优于传统方法.

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A Data-Driven Approach to Quantifying Immune States in Sepsis

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