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Updated: Sep 18, 2025

A Data-Driven Approach to Quantifying Immune States in Sepsis
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基于人工智能的算法的验证,用于预测性能的性能和毒症风险分层,使用住院患者的真实世界数据:一项前性观察性研究

Ji-Hyun Kim1, KyungHyun Lee2, Kwang Joon Kim3,4

  • 1Medical Affairs, Aitrics Co Ltd, Seoul, Republic of Korea.

BMJ health & care informatics
|June 20, 2025
PubMed
概括

与传统方法相比,VitalCare-SEPsis评分 (VC-SEPS) 算法在预测败血症方面表现优越. 这种人工智能工具有助于临床医生在早期败血症诊断和干预中,改善患者护理.

关键词:
人工智能的人工智能是人工智能.决策支持系统,临床支持系统.深度学习 (Deep Learning) 是一种深度学习.信息科学 信息科学 信息科学医疗记录 医疗记录

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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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