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Updated: May 29, 2025

A Neonatal Imaging Model of Gram-Negative Bacterial Sepsis
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机器学习模型作为新生儿感染早期预警系统

Brynne A Sullivan1, Robert W Grundmeier2

  • 1Division of Neonatology, Department of Pediatrics, University of Virginia School of Medicine, 1215 Lee Street, P.O. Box 800386, Charlottesville, VA 22947, USA.

Clinics in perinatology
|February 1, 2025
PubMed
概括

早期发现新生儿感染对于降低婴儿死亡率至关重要. 机器学习在提高诊断准确性方面表现有前途,但需要仔细验证和实施,以克服虚假报警等挑战.

关键词:
机器学习是机器学习.新生儿败血症 新生儿败血症预测结果 预测结果.过早生育 过早生育预警系统 预警系统

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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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