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Updated: Jun 18, 2025

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人工智能和机器学习在尿路感染的识别和预测中的应用:系统性审查和元分析

Li Shen1, Jialu An2, Nanding Wang3

  • 1Department of Infection Control, Xi'an Hospital of Traditional Chinese Medicine, No.69 Feng Cheng 8th Road, Weiyang District, Xi'an, 710021, China.

World journal of urology
|August 1, 2024
PubMed
概括

人工智能 (AI) 和机器学习 (ML) 在识别和预测尿路感染 (UTI) 中表现有前途. 这一元分析量化了它们的性能,表明了在尿路感染检测中临床应用的潜力.

关键词:
人工智能的人工智能是人工智能.诊断的准确性 诊断的准确性机器学习是机器学习.进行元分析分析.预测模型的预测模型.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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