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Updated: Aug 11, 2026

Automated Midline Shift and Intracranial Pressure Estimation based on Brain CT Images
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开发一种深度学习模型,用于预测儿科重症监护病房中的关键事件

In Kyung Lee1, Bongjin Lee2,3, June Dong Park2

  • 1Department of Pediatrics, Seoul St. Mary's Hospital, Seoul, Korea.

Acute and critical care
|March 13, 2024
PubMed
概括

这项研究开发了一种优秀的深度学习模型,用于预测儿科重症监护患者的关键事件,改善早期干预和生存率. 需要进一步的研究来进行外部验证.

关键词:
心脏骤停是因为心脏停止了.进行心肺复苏.机器学习是机器学习.死亡率 死亡率儿科重症监护病房儿童重症监护病房

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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: