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Updated: Jun 13, 2026

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探索预处理新生儿生理信号的计算技术,以检测不良结果:范围审查

Jessica Rahman1, Aida Brankovic2, Mark Tracy3

  • 1Commonwealth Scientific and Industrial Research Organisation (CSIRO) Australian e-Health Research Centre, Australia, Sydney, Australia.

Interactive journal of medical research
|August 20, 2024
PubMed
概括

为机器学习模型预处理新生儿生理信号缺乏透明度和标准化. 加强报告和方法将改善新生儿重症监护病房的可复制性和临床采用.

关键词:
负面的结果是不利的结果.疾病发病率 疾病发病率 疾病发病率新生儿重症监护病房新生儿重症监护病房生理信号 生理信号预测和诊断模型的模型.预产期前的时间.信号分析信号分析信号处理 信号处理 信号处理

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Errors occurring during blood pressure monitoring01:25

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Blood pressure monitoring is a crucial clinical procedure in diagnosing and managing various cardiovascular conditions. Despite its significance, the accuracy of blood pressure measurements can be compromised by multiple factors, potentially leading to either falsely high or low readings. These inaccuracies are critical as they can significantly impact patient care. So, it is vital to understand these challenges deeply and adopt strategic approaches to minimize errors.
Several factors...