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Updated: Jun 3, 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

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使用机器学习方法预测尿路感染:研究寻找最有信息的变量.

Sajjad Farashi1,2, Hossein Emad Momtaz3,4

  • 1Neurophysiology Research Center, Institute of Neuroscience and Mental Health, Avicenna Health Research Institute, Hamadan University of Medical Sciences, Hamadan, Iran. sajjad_farashi@yahoo.com.

BMC medical informatics and decision making
|January 9, 2025
PubMed
概括

机器学习使用尿液,血液和人口统计数据准确预测尿路感染 (UTI). 这种方法为传统的尿液培养提供了更快,更可靠的替代方案,有助于抗生素管理.

关键词:
功能提取 功能提取机器学习 机器学习预测 预测 预测尿路感染 尿路感染

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相关概念视频

Steps in Outbreak Investigation01:18

Steps in Outbreak Investigation

In the ever-evolving field of public health, statistical analysis serves as a cornerstone for understanding and managing disease outbreaks. By leveraging various statistical tools, health professionals can predict potential outbreaks, analyze ongoing situations, and devise effective responses to mitigate impact. For that to happen, there are a few possible stages of the analysis:
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