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Related Experiment Video

Updated: Apr 23, 2026

A Data-Driven Approach to Quantifying Immune States in Sepsis
07:42

A Data-Driven Approach to Quantifying Immune States in Sepsis

Published on: February 7, 2025

595

Machine learning-based precision subtyping and risk prediction in sepsis: a retrospective analysis using MIMIC-IV

Yu Li1, Wenjian Luo2, Qian Qian Zhang3

  • 1Department of Anesthesiology, Xinqiao Hospital, Army Medical University, No.138, Xinqiao Street, Shapingba District, Chongqing, 400037, China.

BMC Infectious Diseases
|April 22, 2026
PubMed
Summary

No abstract available in PubMed .

Keywords:
MIMIC-IV databaseMachine learningRisk predictionSepsisSubtype

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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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Last Updated: Apr 23, 2026

A Data-Driven Approach to Quantifying Immune States in Sepsis
07:42

A Data-Driven Approach to Quantifying Immune States in Sepsis

Published on: February 7, 2025

595