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Updated: Jun 7, 2025

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
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Published on: October 10, 2018

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机器学习在预测早期重症监护需求方面优于加拿大分辨率和敏度度量 (CTAS)

Lars Grant1,2,3, Magueye Diagne4,5, Rafael Aroutiunian4,6

  • 1Department of Emergency Medicine, McGill University, Montreal, QC, Canada. lars.grant@mcgill.ca.

CJEM
|November 19, 2024
PubMed
概括

机器学习模型在预测急救部门的急症护理需求方面明显优于加拿大分辨率敏度度表 (CTAS). 这些人工智能工具对改善急诊室分拣准确性和患者结果显示出希望.

关键词:
人工智能的人工智能应急部门的运作情况.应急部门的分类.机器学习是机器学习.

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